https://github.com/ChanChiChoi/awesome-GAN-papers

papers and codes about GAN
https://github.com/ChanChiChoi/awesome-GAN-papers

List: awesome-GAN-papers

gan generative-adversarial-networks

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papers and codes about GAN

• Host: GitHub
• URL: https://github.com/ChanChiChoi/awesome-GAN-papers
• Owner: ChanChiChoi
• Created: 2018-12-26T07:16:51.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-03T06:07:23.000Z (over 5 years ago)
• Last Synced: 2024-05-21T08:33:51.509Z (7 months ago)
• Topics: gan, generative-adversarial-networks
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  • Readme: README.md

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README

        
# awesome-GAN-papers

this collecting the papers (main from arxiv.org) about  Generative Adversarial Networks (GAN)  

also, some papers and links collected from below, they are all awesome resources:

- [1] [nightrome/really-awesome-gan](https://github.com/nightrome/really-awesome-gan)

- [2] [zhangqianhui/AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers)

- [3] [dongb5/GAN-Timeline](https://github.com/dongb5/GAN-Timeline)

- [4] [hollobit/All-About-the-GAN](https://github.com/hollobit/All-About-the-GAN)

- [5] [LynnHo/GAN-Papers](https://github.com/LynnHo/GAN-Papers)

- [6] [shawnyuen/GANsPaperCollection](https://github.com/shawnyuen/GANsPaperCollection)

- [7] [hindupuravinash/the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo);     [the-gan-zoo-4-tsv](https://github.com/hindupuravinash/the-gan-zoo/blob/master/gans.tsv)

- [8] [code][wiseodd/generative-models](https://github.com/wiseodd/generative-models)

- [9] [code][hwalsuklee/tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)

- [10] [code][znxlwm/pytorch-generative-model-collections](https://github.com/znxlwm/pytorch-generative-model-collections)

- [11] [*code&paper][kozistr/Awesome-GANs](https://github.com/kozistr/Awesome-GANs)

- [12] [*code][eriklindernoren/Keras-GAN](https://github.com/eriklindernoren/Keras-GAN)

- [13] [savan77/The-GAN-World](https://github.com/savan77/The-GAN-World)

- [14] [nashory/gans-awesome-applications](https://github.com/nashory/gans-awesome-applications)

- [15] [code][nisace/gan-lib](https://github.com/nisace/gan-lib)

- [16] [code][sanghoon/tf-exercise-gan](https://github.com/sanghoon/tf-exercise-gan)

- [17] [xinario/awesome-gan-for-medical-imaging](https://github.com/xinario/awesome-gan-for-medical-imaging)

- [18] [code][nashory/gans-collection.torch](https://github.com/nashory/gans-collection.torch)

- [19] [code][YadiraF/GAN](https://github.com/YadiraF/GAN)

- [20] [code&notebook][shayneobrien/generative-models](https://github.com/shayneobrien/generative-models)

- [21] [paper][lzhbrian/image-to-image-papers](https://github.com/lzhbrian/image-to-image-papers)

- [22] [code&notebook][shayneobrien/generative-models](https://github.com/shayneobrien/generative-models)

- [23] [code][MingtaoGuo/\*GAN](https://github.com/MingtaoGuo/DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_RaSGAN_BEGAN_TensorFlow)

---

### 2014

- 【GAN】Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio .[Generative Adversarial Networks](https://arxiv.org/pdf/1406.02661) .[J] arXiv preprint arXiv:1406.02661.

- 【CGAN】Mehdi Mirza, Simon Osindero .[Conditional Generative Adversarial Nets](https://arxiv.org/pdf/1411.01784) .[J] arXiv preprint arXiv:1411.01784.

### 2015

- Malte Probst .[Generative Adversarial Networks in Estimation of Distribution Algorithms  for Combinatorial Optimization](https://arxiv.org/pdf/1509.09235) .[J] arXiv preprint arXiv:1509.09235.

- 【Theory】Michael Mathieu et al. [Deep multi-scale video prediction beyond mean square error](https://arxiv.org/abs/1511.05440) .[J] arXiv preprint arXiv:1511.05440.
[code:[dyelax/Adversarial_Video_Generation](https://github.com/dyelax/Adversarial_Video_Generation)]

- 【AAE】Alireza Makhzani et al. [Adversarial Autoencoders](https://arxiv.org/abs/1511.05644).[J] arXiv preprint arXiv:1511.05644.
[code:

|[musyoku/adversarial-autoencoder&chainer](https://github.com/musyoku/adversarial-autoencoder)|;  

|[fducau/AAE_pytorch](https://github.com/fducau/AAE_pytorch)|;  

|[hwalsuklee/tensorflow-mnist-AAE](https://github.com/hwalsuklee/tensorflow-mnist-AAE)|;  


|[gitmatti/AAE-tensorflow](https://github.com/gitmatti/AAE-tensorflow)|;  

|[spoilt333/onco-aae&ipynb](https://github.com/spoilt333/onco-aae/blob/master/fpt_ae/aae.ipynb)|;  

|[takat0m0/AAE](https://github.com/takat0m0/AAE)|;  


|[bfarzin/pytorch_aae](https://github.com/bfarzin/pytorch_aae)|;  

|[greentfrapp/keras-aae](https://github.com/greentfrapp/keras-aae)|;  

|[alimirzaei/adverserial-autoencoder-keras](https://github.com/alimirzaei/adverserial-autoencoder-keras)|;  


|[sjchoi86/deep-autoencoders&ipynb](https://github.com/sjchoi86/deep-autoencoders/blob/master/src/demo_aae.ipynb)|;  

|[MINGUKKANG/Adversarial-AutoEncoder](https://github.com/MINGUKKANG/Adversarial-AutoEncoder)|;  

|[LLipter/aae](https://github.com/LLipter/aae)|;  


|[zduguid/aae](https://github.com/zduguid/aae)|;  

|[davidath/aae](https://github.com/davidath/aae)|;  

|[gdbmanu/git-aae-vae-gan&ipynb](https://github.com/gdbmanu/git-aae-vae-gan);|  

|[Aanax/newbie_GAN](https://github.com/Aanax/newbie_GAN)|;  

|[ykwon0407/variational_autoencoder](https://github.com/ykwon0407/variational_autoencoder)|

]

- Jost Tobias Springenberg .[Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks](https://arxiv.org/pdf/1511.06390) .[J] arXiv preprint arXiv:1511.06390.

- 【DCGAN】Alec Radford et al. [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks](https://arxiv.org/abs/1511.06434).[J] arXiv preprint arXiv:1511.06434.
[code:[Newmu/dcgan_code](https://github.com/Newmu/dcgan_code);  

[pytorch_dcgan](https://github.com/pytorch/examples/tree/master/dcgan);  

[carpedm20/DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow);  

[soumith/dcgan.torch](https://github.com/soumith/dcgan.torch);  

[jacobgil/keras-dcgan](https://github.com/jacobgil/keras-dcgan)]

### 2016

- Chuan Li, Michael Wand .[Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks](https://arxiv.org/pdf/1604.04382) .[J] arXiv preprint arXiv:1604.04382.

- Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee .[Generative Adversarial Text to Image Synthesis](https://arxiv.org/pdf/1605.05396) .[J] arXiv preprint arXiv:1605.05396.

- Sebastian Nowozin, Botond Cseke, Ryota Tomioka .[f-GAN: Training Generative Neural Samplers using Variational Divergence  Minimization](https://arxiv.org/pdf/1606.00709) .[J] arXiv preprint arXiv:1606.00709.

- Augustus Odena .[Semi-Supervised Learning with Generative Adversarial Networks](https://arxiv.org/pdf/1606.01583) .[J] arXiv preprint arXiv:1606.01583.

- Jonathan Ho, Stefano Ermon .[Generative Adversarial Imitation Learning](https://arxiv.org/pdf/1606.03476) .[J] arXiv preprint arXiv:1606.03476.

- 【Improved-GAN】Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen .[Improved Techniques for Training GANs](https://arxiv.org/pdf/1606.03498) .[J] arXiv preprint arXiv:1606.03498.
[code:

|[openai/improved-gan](https://github.com/openai/improved-gan)|;  

|[Sleepychord/ImprovedGAN-pytorch](https://github.com/Sleepychord/ImprovedGAN-pytorch)|;  

|[LDOUBLEV/semi-supervised-GAN](https://github.com/LDOUBLEV/semi-supervised-GAN)|;  


|[musyoku/improved-gan](https://github.com/musyoku/improved-gan)|;  

|[bruno-31/ImprovedGAN-Tensorflow](https://github.com/bruno-31/ImprovedGAN-Tensorflow)|;  

|[eli5168/improved_gan_pytorch](https://github.com/eli5168/improved_gan_pytorch)|;  


|[hvy/chainer-gan-improvements](https://github.com/hvy/chainer-gan-improvements)|;  

|[hiroharu-kato/improved_gan_chainer](https://github.com/hiroharu-kato/improved_gan_chainer)|;  

|[xjwang-cs/improved-gan-tf1.0.1](https://github.com/xjwang-cs/improved-gan-tf1.0.1)|;  ]

- Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, Pieter Abbeel .[InfoGAN: Interpretable Representation Learning by Information Maximizing  Generative Adversarial Nets](https://arxiv.org/pdf/1606.03657) .[J] arXiv preprint arXiv:1606.03657.

- Ming-Yu Liu, Oncel Tuzel .[Coupled Generative Adversarial Networks](https://arxiv.org/pdf/1606.07536) .[J] arXiv preprint arXiv:1606.07536.

- Hanock Kwak, Byoung-Tak Zhang .[Generating Images Part by Part with Composite Generative Adversarial  Networks](https://arxiv.org/pdf/1607.05387) .[J] arXiv preprint arXiv:1607.05387.

- 【EBGAN】Junbo Zhao, Michael Mathieu, Yann LeCun .[Energy-based Generative Adversarial Network](https://arxiv.org/pdf/1609.03126) .[J] arXiv preprint arXiv:1609.03126.
[code:[buriburisuri/ebgan](https://github.com/buriburisuri/ebgan)]

- 【iGAN】Jun-Yan Zhu et al. [Generative Visual Manipulation on the Natural Image Manifold](https://arxiv.org/abs/1609.03552) .[J] arXiv preprint arXiv:1609.03126.
[code:

|[junyanz/iGAN](https://github.com/junyanz/iGAN)|:  

|[kevinthesun/IGAN_MXNet](https://github.com/kevinthesun/IGAN_MXNet)|

]

- C. Ledig, L. Theis, F. Husz´ar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al. [Photo-realistic single image super-resolution using a generative adversarial network](https://arxiv.org/pdf/1609.04802). arXiv preprint arXiv:1609.04802, 2016.

- Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu .[SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient](https://arxiv.org/pdf/1609.05473) .[J] arXiv preprint arXiv:1609.05473.

- Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal .[Contextual RNN-GANs for Abstract Reasoning Diagram Generation](https://arxiv.org/pdf/1609.09444) .[J] arXiv preprint arXiv:1609.09444.

- David Pfau, Oriol Vinyals .[Connecting Generative Adversarial Networks and Actor-Critic Methods](https://arxiv.org/pdf/1610.01945) .[J] arXiv preprint arXiv:1610.01945.

- Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo .[Generative Adversarial Nets from a Density Ratio Estimation Perspective](https://arxiv.org/pdf/1610.02920) .[J] arXiv preprint arXiv:1610.02920.

- Augustus Odena, Christopher Olah, Jonathon Shlens .[Conditional Image Synthesis With Auxiliary Classifier GANs](https://arxiv.org/pdf/1610.09585) .[J] arXiv preprint arXiv:1610.09585.

- Leon Sixt, Benjamin Wild, Tim Landgraf .[RenderGAN: Generating Realistic Labeled Data](https://arxiv.org/pdf/1611.01331) .[J] arXiv preprint arXiv:1611.01331.

- Hanock Kwak, Byoung-Tak Zhang .[Ways of Conditioning Generative Adversarial Networks](https://arxiv.org/pdf/1611.01455) .[J] arXiv preprint arXiv:1611.01455.

- Dilin Wang, Qiang Liu .[Learning to Draw Samples: With Application to Amortized MLE for  Generative Adversarial Learning](https://arxiv.org/pdf/1611.01722) .[J] arXiv preprint arXiv:1611.01722.

- AuthorsJacob Andreas, Dan Klein, Sergey Levine .[Generative Adversarial Networks as Variational Training of Energy Based  Models](https://arxiv.org/pdf/1611.01799) .[J] arXiv preprint arXiv:1611.01799.

- Authorseir Coupling to Gravity .[Generative Adversarial Networks as Variational Training of Energy Based  Models](https://arxiv.org/pdf/1611.01799) .[J] arXiv preprint arXiv:1611.01799.

- Mickaël Chen, Ludovic Denoyer .[Multi-view Generative Adversarial Networks](https://arxiv.org/pdf/1611.02019) .[J] arXiv preprint arXiv:1611.02019.

- Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein .[Unrolled Generative Adversarial Networks](https://arxiv.org/pdf/1611.02163) .[J] arXiv preprint arXiv:1611.02163.

- Chelsea Finn, Paul Christiano, Pieter Abbeel, Sergey Levine .[A Connection between Generative Adversarial Networks, Inverse  Reinforcement Learning, and Energy-Based Models](https://arxiv.org/pdf/1611.03852) .[J] arXiv preprint arXiv:1611.03852.

- Matt J. Kusner, José Miguel Hernández-Lobato .[GANS for Sequences of Discrete Elements with the Gumbel-softmax  Distribution](https://arxiv.org/pdf/1611.04051) .[J] arXiv preprint arXiv:1611.04051.

- 【LSGANs】Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, Stephen Paul Smolley .[Least Squares Generative Adversarial Networks](https://arxiv.org/pdf/1611.04076) .[J] arXiv preprint arXiv:1611.04076.
[code:[wiseodd/generative-models](https://github.com/wiseodd/generative-models)]

- Antonia Creswell, Anil Anthony Bharath .[Inverting The Generator Of A Generative Adversarial Network](https://arxiv.org/pdf/1611.05644) .[J] arXiv preprint arXiv:1611.05644.

- Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, Jose M. Álvarez .[Invertible Conditional GANs for image editing](https://arxiv.org/pdf/1611.06355) .[J] arXiv preprint arXiv:1611.06355.

- Emily Denton, Sam Gross, Rob Fergus .[Semi-Supervised Learning with Context-Conditional Generative Adversarial  Networks](https://arxiv.org/pdf/1611.06430) .[J] arXiv preprint arXiv:1611.06430.

- Masaki Saito, Eiichi Matsumoto, Shunta Saito .[Temporal Generative Adversarial Nets with Singular Value Clipping](https://arxiv.org/pdf/1611.06624) .[J] arXiv preprint arXiv:1611.06624.

- 【pix2pix】Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. [Image-to-Image Translation with Conditional Adversarial Networks](https://arxiv.org/pdf/1611.07004) .[J] arXiv preprint arXiv:1611.07004.
[code:[phillipi/pix2pix](https://github.com/phillipi/pix2pix);  

[junyanz/pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix);  

[phillipi.github.io/pix2pix](https://phillipi.github.io/pix2pix/)]

- Nikolay Jetchev, Urs Bergmann, Roland Vollgraf .[Texture Synthesis with Spatial Generative Adversarial Networks](https://arxiv.org/pdf/1611.08207) .[J] arXiv preprint arXiv:1611.08207.

- Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury .[SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial  Networks](https://arxiv.org/pdf/1611.08788) .[J] arXiv preprint arXiv:1611.08788.

- Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury .[Handwriting Profiling using Generative Adversarial Networks](https://arxiv.org/pdf/1611.08789) .[J] arXiv preprint arXiv:1611.08789.

- Olof Mogren .[C-RNN-GAN: Continuous recurrent neural networks with adversarial  training](https://arxiv.org/pdf/1611.09904) .[J] arXiv preprint arXiv:1611.09904.

- Yaxing Wang, Lichao Zhang, Joost van de Weijer .[Ensembles of Generative Adversarial Networks](https://arxiv.org/pdf/1612.00991) .[J] arXiv preprint arXiv:1612.00991.

- Arnab Ghosh, Viveka Kulharia, Vinay Namboodiri .[Message Passing Multi-Agent GANs](https://arxiv.org/pdf/1612.01294) .[J] arXiv preprint arXiv:1612.01294.

- Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li .[Mode Regularized Generative Adversarial Networks](https://arxiv.org/pdf/1612.02136) .[J] arXiv preprint arXiv:1612.02136.

- Ben Poole, Alexander A. Alemi, Jascha Sohl-Dickstein, Anelia Angelova .[Improved generator objectives for GANs](https://arxiv.org/pdf/1612.02780) .[J] arXiv preprint arXiv:1612.02780.

- Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim, Graham Taylor .[Generative Adversarial Parallelization](https://arxiv.org/pdf/1612.04021) .[J] arXiv preprint arXiv:1612.04021.

- Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie .[Stacked Generative Adversarial Networks](https://arxiv.org/pdf/1612.04357) .[J] arXiv preprint arXiv:1612.04357.

- Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan .[Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial  Networks](https://arxiv.org/pdf/1612.05424) .[J] arXiv preprint arXiv:1612.05424.

- Daoyu Lin, Kun Fu, Yang Wang, Guangluan Xu, Xian Sun .[MARTA GANs: Unsupervised Representation Learning for Remote Sensing  Image Classification](https://arxiv.org/pdf/1612.08879) .[J] arXiv preprint arXiv:1612.08879.

- John Glover .[Modeling documents with Generative Adversarial Networks](https://arxiv.org/pdf/1612.09122) .[J] arXiv preprint arXiv:1612.09122.

### 2017

- Ian Goodfellow .[NIPS 2016 Tutorial: Generative Adversarial Networks](https://arxiv.org/pdf/1701.00160) .[J] arXiv preprint arXiv:1701.00160.

- Junting Pan, Cristian Canton Ferrer, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol, Xavier Giro-i-Nieto .[SalGAN: Visual Saliency Prediction with Generative Adversarial Networks](https://arxiv.org/pdf/1701.01081) .[J] arXiv preprint arXiv:1701.01081.

- 【AdaGAN】Ilya Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf .[AdaGAN: Boosting Generative Models](https://arxiv.org/pdf/1701.02386) .[J] arXiv preprint arXiv:1701.02386.
[code:

|[tolstikhin/adagan](https://github.com/tolstikhin/adagan)|:  ]

- Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo .[Unsupervised Image-to-Image Translation with Generative Adversarial  Networks](https://arxiv.org/pdf/1701.02676) .[J] arXiv preprint arXiv:1701.02676.

- Mahesh Gorijala, Ambedkar Dukkipati .[Image Generation and Editing with Variational Info Generative AdversarialNetworks](https://arxiv.org/pdf/1701.04568) .[J] arXiv preprint arXiv:1701.04568.

- Lars Mescheder, Sebastian Nowozin, Andreas Geiger .[Adversarial Variational Bayes: Unifying Variational Autoencoders and  Generative Adversarial Networks](https://arxiv.org/pdf/1701.04722) .[J] arXiv preprint arXiv:1701.04722.

- 【Pre-WGAN】Martin Arjovsky, Léon Bottou .[Towards Principled Methods for Training Generative Adversarial Networks](https://arxiv.org/pdf/1701.04862) .[J] arXiv preprint arXiv:1701.04862.

- Luke de Oliveira, Michela Paganini, Benjamin Nachman .[Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis](https://arxiv.org/pdf/1701.05927) .[J] arXiv preprint arXiv:1701.05927.

- He Zhang, Vishwanath Sindagi, Vishal M. Patel .[Image De-raining Using a Conditional Generative Adversarial Network](https://arxiv.org/pdf/1701.05957) .[J] arXiv preprint arXiv:1701.05957.

- 【LS-GAN&GLS-GAN】Guo-Jun Qi .[Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities](https://arxiv.org/pdf/1701.06264) .[J] arXiv preprint arXiv:1701.06264.[code:[guojunq/lsgan](https://github.com/guojunq/lsgan)]

- Alex Kuefler, Jeremy Morton, Tim Wheeler, Mykel Kochenderfer .[Imitating Driver Behavior with Generative Adversarial Networks](https://arxiv.org/pdf/1701.06699) .[J] arXiv preprint arXiv:1701.06699.

- Zhedong Zheng, Liang Zheng, Yi Yang .[Unlabeled Samples Generated by GAN Improve the Person Re-identification  Baseline in vitro](https://arxiv.org/pdf/1701.07717) .[J] arXiv preprint arXiv:1701.07717.

- 【WGAN】Martin Arjovsky, Soumith Chintala, Léon Bottou .[Wasserstein GAN](https://arxiv.org/pdf/1701.07875) .[J] arXiv preprint arXiv:1701.07875.
[code:

|[martinarjovsky/WassersteinGAN](https://github.com/martinarjovsky/WassersteinGAN)|;  

|[Zardinality/WGAN-tensorflow](https://github.com/Zardinality/WGAN-tensorflow)|;  

|[shekkizh/WassersteinGAN.tensorflow](https://github.com/shekkizh/WassersteinGAN.tensorflow)|;  


|[musyoku/wasserstein-gan](https://github.com/musyoku/wasserstein-gan)|;  

|[jiamings/wgan&wganV2](https://github.com/jiamings/wgan)|;  

|[adler-j/minimal_wgan](https://github.com/adler-j/minimal_wgan)|;  


|[fonfonx/WassersteinGAN.torch](https://github.com/fonfonx/WassersteinGAN.torch)|;  

|[bobchennan/Wasserstein-GAN-Keras](https://github.com/bobchennan/Wasserstein-GAN-Keras)|;  

|[mjdietzx/GAN-Sandbox](https://github.com/mjdietzx/GAN-Sandbox)|;  


|[MustafaMustafa/WassersteinGAN-TensorFlow](https://github.com/MustafaMustafa/WassersteinGAN-TensorFlow)|;  

|[hvy/chainer-wasserstein-gan](https://github.com/hvy/chainer-wasserstein-gan)|;  

|[cameronfabbri/Wasserstein-GAN-Tensorflow](https://github.com/cameronfabbri/Wasserstein-GAN-Tensorflow)|;  


|[EmilienDupont/wgan-gp](https://github.com/EmilienDupont/wgan-gp)|;  

|[cedrickchee/wasserstein-gan](https://github.com/cedrickchee/wasserstein-gan)|;  

|[Goldesel23/DCGAN-for-Bird-Generation](https://github.com/Goldesel23/DCGAN-for-Bird-Generation)|;  


|[ChengBinJin/WGAN-TensorFlow](https://github.com/ChengBinJin/WGAN-TensorFlow)|;  

|[shayneobrien/generative-models&notebook](https://github.com/shayneobrien/generative-models)|;  

|[KnetML/WGAN.jl&julia](https://github.com/KnetML/WGAN.jl)|;  


|[germain-hug/GANs-Keras](https://github.com/germain-hug/GANs-Keras)|;  

|[ConnorJL/WGAN-Tensorflow&slim](https://github.com/ConnorJL/WGAN-Tensorflow)|;  

]

- Kevin Schawinski, Ce Zhang, Hantian Zhang, Lucas Fowler, Gokula Krishnan Santhanam .[Generative Adversarial Networks recover features in astrophysical images  of galaxies beyond the deconvolution limit](https://arxiv.org/pdf/1702.00403) .[J] arXiv preprint arXiv:1702.00403.

- Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard Hovy, Aaron Courville .[Calibrating Energy-based Generative Adversarial Networks](https://arxiv.org/pdf/1702.01691) .[J] arXiv preprint arXiv:1702.01691.

- Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay .[Face Aging With Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1702.01983) .[J] arXiv preprint arXiv:1702.01983.

- Wei Ren Tan, Chee Seng Chan, Hernan Aguirre, Kiyoshi Tanaka .[ArtGAN: Artwork Synthesis with Conditional Categorical GANs](https://arxiv.org/pdf/1702.03410) .[J] arXiv preprint arXiv:1702.03410.

- Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao .[Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for  Hand Pose Estimation](https://arxiv.org/pdf/1702.03431) .[J] arXiv preprint arXiv:1702.03431.

- Zachary C. Lipton, Subarna Tripathi .[Precise Recovery of Latent Vectors from Generative Adversarial Networks](https://arxiv.org/pdf/1702.04782) .[J] arXiv preprint arXiv:1702.04782.

- Weiwei Hu, Ying Tan .[Generating Adversarial Malware Examples for Black-Box Attacks Based on  GAN](https://arxiv.org/pdf/1702.05983) .[J] arXiv preprint arXiv:1702.05983.

- Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu .[Unsupervised Diverse Colorization via Generative Adversarial Networks](https://arxiv.org/pdf/1702.06674) .[J] arXiv preprint arXiv:1702.06674.

- Muthuraman Chidambaram, Yanjun Qi .[Style Transfer Generative Adversarial Networks: Learning to Play Chess  Differently](https://arxiv.org/pdf/1702.06762) .[J] arXiv preprint arXiv:1702.06762.

- Jie Li, Katherine A. Skinner, Ryan M. Eustice, Matthew Johnson-Roberson .[WaterGAN: Unsupervised Generative Network to Enable Real-time Color  Correction of Monocular Underwater Images](https://arxiv.org/pdf/1702.07392) .[J] arXiv preprint arXiv:1702.07392.

- Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz .[Deep Models Under the GAN: Information Leakage from Collaborative Deep  Learning](https://arxiv.org/pdf/1702.07464) .[J] arXiv preprint arXiv:1702.07464.

- Jia-Jie Zhu, José Bento .[Generative Adversarial Active Learning](https://arxiv.org/pdf/1702.07956) .[J] arXiv preprint arXiv:1702.07956.

- Tong Che, Yanran Li, Ruixiang Zhang, R Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio .[Maximum-Likelihood Augmented Discrete Generative Adversarial Networks](https://arxiv.org/pdf/1702.07983) .[J] arXiv preprint arXiv:1702.07983.

- 【CAAE】Zhifei Zhang et al. [Age Progression/Regression by Conditional Adversarial Autoencoder](https://arxiv.org/abs/1702.08423) .[J] arXiv preprint arXiv:1702.08423.
[code:

|[zzutk.github.io/Face-Aging-CAAE](https://zzutk.github.io/Face-Aging-CAAE)|  

|[Jooong/Face-Aging-CAAE-Pytorch](https://github.com/Jooong/Face-Aging-CAAE-Pytorch)|  

|[wangxiao5791509/Age-Progression-Regression-by-CAAE](https://github.com/wangxiao5791509/Age-Progression-Regression-by-CAAE)|  

|[hai046/Face-Aging-CAAE_pro](https://github.com/hai046/Face-Aging-CAAE_pro)|  

|[SaltedSlark/CAAE.ipynb](https://github.com/SaltedSlark/CAAE/blob/master/CAAE.ipynb)|

]

- 【BS-GAN】R Devon Hjelm, Athul Paul Jacob, Tong Che, Adam Trischler, Kyunghyun Cho, Yoshua Bengio .[Boundary-Seeking Generative Adversarial Networks](https://arxiv.org/pdf/1702.08431) .[J] arXiv preprint arXiv:1702.08431.
[code:[wiseodd/generative-models](https://github.com/wiseodd/generative-models)  [ekrim/bgan-t](https://github.com/ekrim/bgan-tf)  [rdevon/BGAN](https://github.com/rdevon/BGAN)  [DeepTensors/Boundary-Seeking-GAN](https://github.com/DeepTensors/Boundary-Seeking-GAN)

]

- Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang .[Generalization and Equilibrium in Generative Adversarial Nets (GANs)](https://arxiv.org/pdf/1703.00573) .[J] arXiv preprint arXiv:1703.00573.

- Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh .[LR-GAN: Layered Recursive Generative Adversarial Networks for Image  Generation](https://arxiv.org/pdf/1703.01560) .[J] arXiv preprint arXiv:1703.01560.

- Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Yong Yu, Jun Wang .[Activation Maximization Generative Adversarial Nets](https://arxiv.org/pdf/1703.02000) .[J] arXiv preprint arXiv:1703.02000.

- Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang .[Triple Generative Adversarial Nets](https://arxiv.org/pdf/1703.02291) .[J] arXiv preprint arXiv:1703.02291.

- Samuel Albanie, Sébastien Ehrhardt, João F. Henriques .[Stopping GAN Violence: Generative Unadversarial Networks](https://arxiv.org/pdf/1703.02528) .[J] arXiv preprint arXiv:1703.02528.

- Zhen Yang, Wei Chen, Feng Wang, Bo Xu .[Improving Neural Machine Translation with Conditional Sequence  Generative Adversarial Nets](https://arxiv.org/pdf/1703.04887) .[J] arXiv preprint arXiv:1703.04887.

- Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim .[Learning to Discover Cross-Domain Relations with Generative Adversarial  Networks](https://arxiv.org/pdf/1703.05192) .[J] arXiv preprint arXiv:1703.05192.

- Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs .[Unsupervised Anomaly Detection with Generative Adversarial Networks to  Guide Marker Discovery](https://arxiv.org/pdf/1703.05921) .[J] arXiv preprint arXiv:1703.05921.

- Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin .[Towards Diverse and Natural Image Descriptions via a Conditional GAN](https://arxiv.org/pdf/1703.06029) .[J] arXiv preprint arXiv:1703.06029.

- Ayushman Dash, John Cristian Borges Gamboa, Sheraz Ahmed, Marcus Liwicki, Muhammad Zeshan Afzal .[TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial  Network](https://arxiv.org/pdf/1703.06412) .[J] arXiv preprint arXiv:1703.06412.

- Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun .[Generating Multi-label Discrete Patient Records using Generative Adversarial Networks](https://arxiv.org/pdf/1703.06490) .[J] arXiv preprint arXiv:1703.06490.

- Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang .[GP-GAN: Towards Realistic High-Resolution Image Blending](https://arxiv.org/pdf/1703.07195) .[J] arXiv preprint arXiv:1703.07195.

- Akshay Mehrotra, Ambedkar Dukkipati .[Generative Adversarial Residual Pairwise Networks for One Shot Learning](https://arxiv.org/pdf/1703.08033) .[J] arXiv preprint arXiv:1703.08033.

- Santiago Pascual, Antonio Bonafonte, Joan Serrà .[SEGAN: Speech Enhancement Generative Adversarial Network](https://arxiv.org/pdf/1703.09452) .[J] arXiv preprint arXiv:1703.09452.

- Nasim Souly, Concetto Spampinato, Mubarak Shah .[Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network](https://arxiv.org/pdf/1703.09695) .[J] arXiv preprint arXiv:1703.09695.

- Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv .[Learning Inverse Mapping by Autoencoder based Generative Adversarial  Nets](https://arxiv.org/pdf/1703.10094) .[J] arXiv preprint arXiv:1703.10094.

- Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi .[SeGAN: Segmenting and Generating the Invisible](https://arxiv.org/pdf/1703.10239) .[J] arXiv preprint arXiv:1703.10239.

- 【CycleGAN】Jun-Yan Zhu et al. [Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks](https://arxiv.org/abs/1703.10593).[J] arXiv preprint arXiv:1703.10593.
[code:[junyanz/CycleGAN](https://github.com/junyanz/CycleGAN);  

[junyanz.github.io/CycleGAN](https://junyanz.github.io/CycleGAN/);  

[junyanz/pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)]

- 【BEGAN】David Berthelot, Thomas Schumm, Luke Metz .[BEGAN: Boundary Equilibrium Generative Adversarial Networks](https://arxiv.org/pdf/1703.10717) .[J] arXiv preprint arXiv:1703.10717.
[code;

|[wiseodd/generative-models](https://github.com/wiseodd/generative-models)|  

|[rdevon/BGAN](https://github.com/rdevon/BGAN)|  

|[ekrim/bgan-tf](https://github.com/ekrim/bgan-tf)|  


|[carpedm20/BEGAN-tensorflow](https://github.com/carpedm20/BEGAN-tensorflow)|  

|[artcg/BEGAN](https://github.com/artcg/BEGAN)|  

|[Heumi/BEGAN-tensorflow](https://github.com/Heumi/BEGAN-tensorflow)|  


|[carpedm20/BEGAN-pytorch](https://github.com/carpedm20/BEGAN-pytorch)|  

|[taey16/pix2pixBEGAN.pytorch](https://github.com/taey16/pix2pixBEGAN.pytorch)|  

|[mokemokechicken/keras_BEGAN](https://github.com/mokemokechicken/keras_BEGAN)|  


|[YadiraF/GAN_Theorie&TOTAL](https://github.com/YadiraF/GAN_Theories)|  

|[adepierre/Caffe_BEGAN](https://github.com/adepierre/Caffe_BEGAN)|  

|[HiiYL/BEGAN-PyTorch](https://github.com/HiiYL/BEGAN-PyTorch)|  


|[shayneobrien/generative-models](https://github.com/shayneobrien/generative-models)|  

|[anantzoid/BEGAN-pytorch](https://github.com/anantzoid/BEGAN-pytorch)|  

|[sanghoon/tf-exercise-gan](https://github.com/sanghoon/tf-exercise-gan)|  


|[RuiShu/began](https://github.com/RuiShu/began)|  

|[khanrc/tf.gans-comparison](https://github.com/khanrc/tf.gans-comparison)|  

|[musyoku/began&chainer](https://github.com/musyoku/began)|  


|[Overseer66/Tensorflow-GAN&notebook](https://github.com/Overseer66/Tensorflow-GAN)|  

|[HolyCaonima/BEGAN](https://github.com/HolyCaonima/BEGAN)|  

|[hvy/chainer-began&chainer](https://github.com/hvy/chainer-began)|  


|[2wins/BEGAN-cntk](https://github.com/2wins/BEGAN-cntk)|  

|[2wins/BEGAN-tensorlayer](https://github.com/2wins/BEGAN-tensorlayer)|  

|[1Konny/BEGAN-pytorch](https://github.com/1Konny/BEGAN-pytorch)|  


|[nashory/BEGAN-torch7](https://github.com/nashory/BEGAN-torch7)|  

]

- Li-Chia Yang, Szu-Yu Chou, Yi-Hsuan Yang .[MidiNet: A Convolutional Generative Adversarial Network for  Symbolic-domain Music Generation](https://arxiv.org/pdf/1703.10847) .[J] arXiv preprint arXiv:1703.10847.

- 【Improved-WGAN】Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, Aaron Courville .[Improved Training of Wasserstein GANs](https://arxiv.org/pdf/1704.00028) .[J] arXiv preprint arXiv:1704.00028.

- Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, Hsin-Min Wang .[Voice Conversion from Unaligned Corpora using Variational Autoencoding  Wasserstein Generative Adversarial Networks](https://arxiv.org/pdf/1704.00849) .[J] arXiv preprint arXiv:1704.00849.

- Swami Sankaranarayanan, Yogesh Balaji, Carlos D. Castillo, Rama Chellappa .[Generate To Adapt: Aligning Domains using Generative Adversarial  Networks](https://arxiv.org/pdf/1704.01705) .[J] arXiv preprint arXiv:1704.01705.

- Weidong Yin, Yanwei Fu, Leonid Sigal, Xiangyang Xue .[Semi-Latent GAN: Learning to generate and modify facial images from  attributes](https://arxiv.org/pdf/1704.02166) .[J] arXiv preprint arXiv:1704.02166.

- Maciej Zieba, Lei Wang .[Training Triplet Networks with GAN](https://arxiv.org/pdf/1704.02227) .[J] arXiv preprint arXiv:1704.02227.

- Zili Yi, Hao Zhang, Ping Tan, Minglun Gong .[DualGAN: Unsupervised Dual Learning for Image-to-Image Translation](https://arxiv.org/pdf/1704.02510) .[J] arXiv preprint arXiv:1704.02510.

- Leonardo Galteri, Lorenzo Seidenari, Marco Bertini, Alberto Del Bimbo .[Deep Generative Adversarial Compression Artifact Removal](https://arxiv.org/pdf/1704.02518) .[J] arXiv preprint arXiv:1704.02518.

- Arnab Ghosh, Viveka Kulharia, Vinay Namboodiri, Philip H. S. Torr, Puneet K. Dokania .[Multi-Agent Diverse Generative Adversarial Networks](https://arxiv.org/pdf/1704.02906) .[J] arXiv preprint arXiv:1704.02906.

- Lukas Mosser, Olivier Dubrule, Martin J. Blunt .[Reconstruction of three-dimensional porous media using Generative Adversarial neural networks](https://arxiv.org/pdf/1704.03225) .[J] arXiv preprint arXiv:1704.03225.

- Ruohan Wang, Antoine Cully, Hyung Jin Chang, Yiannis Demiris .[MAGAN: Margin Adaptation for Generative Adversarial Networks](https://arxiv.org/pdf/1704.03817) .[J] arXiv preprint arXiv:1704.03817.

- Sitao Xiang, Hao Li .[On the Effects of Batch and Weight Normalization in Generative Adversarial Networks](https://arxiv.org/pdf/1704.03971) .[J] arXiv preprint arXiv:1704.03971.

- 【App】Rui Huang, Shu Zhang, Tianyu Li, Ran He .[Beyond Face Rotation: Global and Local Perception GAN for Photorealistic  and Identity Preserving Frontal View Synthesis](https://arxiv.org/pdf/1704.04086) .[J] arXiv preprint arXiv:1704.04086.

- Min Lin .[Softmax GAN](https://arxiv.org/pdf/1704.06191) .[J] arXiv preprint arXiv:1704.06191.

- Yifan Liu, Zengchang Qin, Zhenbo Luo, Hua Wang .[Auto-painter: Cartoon Image Generation from Sketch by Using Conditional  Generative Adversarial Networks](https://arxiv.org/pdf/1705.01908) .[J] arXiv preprint arXiv:1705.01908.

- Jonathan Chang, Stefan Scherer .[Learning Representations of Emotional Speech with Deep Convolutional  Generative Adversarial Networks](https://arxiv.org/pdf/1705.02394) .[J] arXiv preprint arXiv:1705.02394.

- Zhimin Chen, Yuguang Tong .[Face Super-Resolution Through Wasserstein GANs](https://arxiv.org/pdf/1705.02438) .[J] arXiv preprint arXiv:1705.02438.

- Jae Hyun Lim, Jong Chul Ye .[Geometric GAN](https://arxiv.org/pdf/1705.02894) .[J] arXiv preprint arXiv:1705.02894.

- Hyeungill Lee, Sungyeob Han, Jungwoo Lee .[Generative Adversarial Trainer: Defense to Adversarial Perturbations  with GAN](https://arxiv.org/pdf/1705.03387) .[J] arXiv preprint arXiv:1705.03387.

- Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He .[GeneGAN: Learning Object Transfiguration and Attribute Subspace from  Unpaired Data](https://arxiv.org/pdf/1705.04932) .[J] arXiv preprint arXiv:1705.04932.

- Vedran Vukotic, Christian Raymond, Guillaume Gravier .[Generative Adversarial Networks for Multimodal Representation Learning  in Video Hyperlinking](https://arxiv.org/pdf/1705.05103) .[J] arXiv preprint arXiv:1705.05103.

- Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria, Daan Wierstra, Peter Dayan .[Comparison of Maximum Likelihood and GAN-based training of Real NVPs](https://arxiv.org/pdf/1705.05263) .[J] arXiv preprint arXiv:1705.05263.

- Urs Bergmann, Nikolay Jetchev, Roland Vollgraf .[Learning Texture Manifolds with the Periodic Spatial GAN](https://arxiv.org/pdf/1705.06566) .[J] arXiv preprint arXiv:1705.06566.

- Xin Guo, Johnny Hong, Tianyi Lin, Nan Yang .[Relaxed Wasserstein with Applications to GANs](https://arxiv.org/pdf/1705.07164) .[J] arXiv preprint arXiv:1705.07164.

- Naveen Kodali, Jacob Abernethy, James Hays, Zsolt Kira .[On Convergence and Stability of GANs](https://arxiv.org/pdf/1705.07215) .[J] arXiv preprint arXiv:1705.07215.

- Arash Mehrjou, Bernhard Schölkopf, Saeed Saremi .[Annealed Generative Adversarial Networks](https://arxiv.org/pdf/1705.07505) .[J] arXiv preprint arXiv:1705.07505.

- Olivier Bousquet, Sylvain Gelly, Ilya Tolstikhin, Carl-Johann Simon-Gabriel, Bernhard Schoelkopf .[From optimal transport to generative modeling: the VEGAN cookbook](https://arxiv.org/pdf/1705.07642) .[J] arXiv preprint arXiv:1705.07642.

- Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro .[LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative  Adversarial Networks](https://arxiv.org/pdf/1705.07663) .[J] arXiv preprint arXiv:1705.07663.

- Akash Srivastava, Lazar Valkov, Chris Russell, Michael U. Gutmann, Charles Sutton .[VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational  Learning](https://arxiv.org/pdf/1705.07761) .[J] arXiv preprint arXiv:1705.07761.

- Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti .[Stabilizing GAN Training with Multiple Random Projections](https://arxiv.org/pdf/1705.07831) .[J] arXiv preprint arXiv:1705.07831.

- Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley .[Semantically Decomposing the Latent Spaces of Generative Adversarial  Networks](https://arxiv.org/pdf/1705.07904) .[J] arXiv preprint arXiv:1705.07904.

- Ari Seff, Alex Beatson, Daniel Suo, Han Liu .[Continual Learning in Generative Adversarial Nets](https://arxiv.org/pdf/1705.08395) .[J] arXiv preprint arXiv:1705.08395.

- Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos .[MMD GAN: Towards Deeper Understanding of Moment Matching Network](https://arxiv.org/pdf/1705.08584) .[J] arXiv preprint arXiv:1705.08584.

- Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo .[From source to target and back: symmetric bi-directional adaptive GAN](https://arxiv.org/pdf/1705.08824) .[J] arXiv preprint arXiv:1705.08824.

- Abhishek Kumar, Prasanna Sattigeri, P. Thomas Fletcher .[Semi-supervised Learning with GANs: Manifold Invariance with Improved  Inference](https://arxiv.org/pdf/1705.08850) .[J] arXiv preprint arXiv:1705.08850.

- Aditya Grover, Manik Dhar, Stefano Ermon .[Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in  Generative Models](https://arxiv.org/pdf/1705.08868) .[J] arXiv preprint arXiv:1705.08868.

- Shuang Liu, Olivier Bousquet, Kamalika Chaudhuri .[Approximation and Convergence Properties of Generative Adversarial  Learning](https://arxiv.org/pdf/1705.08991) .[J] arXiv preprint arXiv:1705.08991.

- Mathieu Sinn, Ambrish Rawat .[Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training](https://arxiv.org/pdf/1705.09199) .[J] arXiv preprint arXiv:1705.09199.

- Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann .[Stabilizing Training of Generative Adversarial Networks through  Regularization](https://arxiv.org/pdf/1705.09367) .[J] arXiv preprint arXiv:1705.09367.

- Yunus Saatchi, Andrew Gordon Wilson .[Bayesian GAN](https://arxiv.org/pdf/1705.09558) .[J] arXiv preprint arXiv:1705.09558.

- Youssef Mroueh, Tom Sercu .[Fisher GAN](https://arxiv.org/pdf/1705.09675) .[J] arXiv preprint arXiv:1705.09675.

- Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov .[Good Semi-supervised Learning that Requires a Bad GAN](https://arxiv.org/pdf/1705.09783) .[J] arXiv preprint arXiv:1705.09783.

- Yongyi Lu, Yu-Wing Tai, Chi-Keung Tang .[Conditional CycleGAN for Attribute Guided Face Image Generation](https://arxiv.org/pdf/1705.09966) .[J] arXiv preprint arXiv:1705.09966.

- Evgeny Zamyatin, Andrey Filchenkov .[Learning to Generate Chairs with Generative Adversarial Nets](https://arxiv.org/pdf/1705.10413) .[J] arXiv preprint arXiv:1705.10413.

- Lars Mescheder, Sebastian Nowozin, Andreas Geiger .[The Numerics of GANs](https://arxiv.org/pdf/1705.10461) .[J] arXiv preprint arXiv:1705.10461.

- Karol Hausman, Yevgen Chebotar, Stefan Schaal, Gaurav Sukhatme, Joseph Lim .[Multi-Modal Imitation Learning from Unstructured Demonstrations using  Generative Adversarial Nets](https://arxiv.org/pdf/1705.10479) .[J] arXiv preprint arXiv:1705.10479.

- Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang .[IRGAN: A Minimax Game for Unifying Generative and Discriminative  Information Retrieval Models](https://arxiv.org/pdf/1705.10513) .[J] arXiv preprint arXiv:1705.10513.

- Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus Alley, Neil Thakur, Song Han, William Dally, John M. Pauly, Lei Xing .[Deep Generative Adversarial Networks for Compressed Sensing Automates  MRI](https://arxiv.org/pdf/1706.00051) .[J] arXiv preprint arXiv:1706.00051.

- Marco Marchesi .[Megapixel Size Image Creation using Generative Adversarial Networks](https://arxiv.org/pdf/1706.00082) .[J] arXiv preprint arXiv:1706.00082.

- Elena Ibragimova, Ilgis Ibragimov .[The ELEGANT NMR Spectrometer](https://arxiv.org/pdf/1706.00237) .[J] arXiv preprint arXiv:1706.00237.

- Alireza Makhzani, Brendan Frey .[PixelGAN Autoencoders](https://arxiv.org/pdf/1706.00531) .[J] arXiv preprint arXiv:1706.00531.

- Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf .[Language Generation with Recurrent Generative Adversarial Networks  without Pre-training](https://arxiv.org/pdf/1706.01399) .[J] arXiv preprint arXiv:1706.01399.

- Yuan Xue, Tao Xu, Han Zhang, Rodney Long, Xiaolei Huang .[SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image  Segmentation](https://arxiv.org/pdf/1706.01805) .[J] arXiv preprint arXiv:1706.01805.

- Aude Genevay, Gabriel Peyré, Marco Cuturi .[GAN and VAE from an Optimal Transport Point of View](https://arxiv.org/pdf/1706.01807) .[J] arXiv preprint arXiv:1706.01807.

- Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan .[DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data](https://arxiv.org/pdf/1706.02071) .[J] arXiv preprint arXiv:1706.02071.

- He Zhao, Huiqi Li, Li Cheng .[Synthesizing Filamentary Structured Images with GANs](https://arxiv.org/pdf/1706.02185) .[J] arXiv preprint arXiv:1706.02185.

- Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Rami Al-Rfou, Zarija Lukić .[Creating Virtual Universes Using Generative Adversarial Networks](https://arxiv.org/pdf/1706.02390) .[J] arXiv preprint arXiv:1706.02390.

- Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch .[Real-valued (Medical) Time Series Generation with Recurrent Conditional  GANs](https://arxiv.org/pdf/1706.02633) .[J] arXiv preprint arXiv:1706.02633.

- Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays .[TextureGAN: Controlling Deep Image Synthesis with Texture Patches](https://arxiv.org/pdf/1706.02823) .[J] arXiv preprint arXiv:1706.02823.

- Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi, Thomas Hofmann, Andreas Krause .[An Online Learning Approach to Generative Adversarial Networks](https://arxiv.org/pdf/1706.03269) .[J] arXiv preprint arXiv:1706.03269.

- Lvmin Zhang, Yi Ji, Xin Lin .[Style Transfer for Anime Sketches with Enhanced Residual U-net and  Auxiliary Classifier GAN](https://arxiv.org/pdf/1706.03319) .[J] arXiv preprint arXiv:1706.03319.

- Vaishnavh Nagarajan, J. Zico Kolter .[Gradient descent GAN optimization is locally stable](https://arxiv.org/pdf/1706.04156) .[J] arXiv preprint arXiv:1706.04156.

- Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley, Shakir Mohamed .[Variational Approaches for Auto-Encoding Generative Adversarial Networks](https://arxiv.org/pdf/1706.04987) .[J] arXiv preprint arXiv:1706.04987.

- Jerry Liu, Fisher Yu, Thomas Funkhouser .[Interactive 3D Modeling with a Generative Adversarial Network](https://arxiv.org/pdf/1706.05170) .[J] arXiv preprint arXiv:1706.05170.

- Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan .[Perceptual Generative Adversarial Networks for Small Object Detection](https://arxiv.org/pdf/1706.05274) .[J] arXiv preprint arXiv:1706.05274.

- Yujia Li, Alexander Schwing, Kuan-Chieh Wang, Richard Zemel .[Dualing GANs](https://arxiv.org/pdf/1706.06216) .[J] arXiv preprint arXiv:1706.06216.

- Paulina Hensman, Kiyoharu Aizawa .[cGAN-based Manga Colorization Using a Single Training Image](https://arxiv.org/pdf/1706.06918) .[J] arXiv preprint arXiv:1706.06918.

- Sanjeev Arora, Yi Zhang .[Do GANs actually learn the distribution? An empirical study](https://arxiv.org/pdf/1706.08224) .[J] arXiv preprint arXiv:1706.08224.

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- Jaeyoon Yoo, Heonseok Ha, Jihun Yi, Jongha Ryu, Chanju Kim, Jung-Woo Ha, Young-Han Kim, Sungroh Yoon .[Energy-Based Sequence GANs for Recommendation and Their Connection to  Imitation Learning](https://arxiv.org/pdf/1706.09200) .[J] arXiv preprint arXiv:1706.09200.

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- Christopher Beckham, Christopher Pal .[A step towards procedural terrain generation with GANs](https://arxiv.org/pdf/1707.03383) .[J] arXiv preprint arXiv:1707.03383.

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- Yize Chen, Yishen Wang, Daniel Kirschen, Baosen Zhang .[Model-Free Renewable Scenario Generation Using Generative Adversarial  Networks](https://arxiv.org/pdf/1707.09676) .[J] arXiv preprint arXiv:1707.09676.

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- Andy Kitchen, Jarrel Seah .[Deep Generative Adversarial Neural Networks for Realistic Prostate  Lesion MRI Synthesis](https://arxiv.org/pdf/1708.00129) .[J] arXiv preprint arXiv:1708.00129.

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- Shing Chan, Ahmed H. Elsheikh .[Parametrization and Generation of Geological Models with Generative Adversarial Networks](https://arxiv.org/pdf/1708.01810) .[J] arXiv preprint arXiv:1708.01810.

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- Mostapha Benhenda (LAGA) .[ChemGAN challenge for drug discovery: can AI reproduce natural chemical  diversity?](https://arxiv.org/pdf/1708.08227) .[J] arXiv preprint arXiv:1708.08227.

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- Yasir Latif, Ravi Garg, Michael Milford, Ian Reid .[Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks](https://arxiv.org/pdf/1709.08810) .[J] arXiv preprint arXiv:1709.08810.

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- Kenji Enomoto, Ken Sakurada, Weimin Wang, Hiroshi Fukui, Masashi Matsuoka, Ryosuke Nakamura, Nobuo Kawaguchi .[Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional  Generative Adversarial Nets](https://arxiv.org/pdf/1710.04835) .[J] arXiv preprint arXiv:1710.04835.

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- Alan Do-Omri, Dalei Wu, Xiaohua Liu .[A Self-Training Method for Semi-Supervised GANs](https://arxiv.org/pdf/1710.10313) .[J] arXiv preprint arXiv:1710.10313.

- Yichi Ma, Muhan Ma .[A Novel Approach to Artistic Textual Visualization via GAN](https://arxiv.org/pdf/1710.10553) .[J] arXiv preprint arXiv:1710.10553.

- Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore .[Synthetic Iris Presentation Attack using iDCGAN](https://arxiv.org/pdf/1710.10565) .[J] arXiv preprint arXiv:1710.10565.

- Xingwei Cao, Xuyang Zhao, Qibin Zhao .[Tensorizing Generative Adversarial Nets](https://arxiv.org/pdf/1710.10772) .[J] arXiv preprint arXiv:1710.10772.

- Cem Subakan, Paris Smaragdis .[Generative Adversarial Source Separation](https://arxiv.org/pdf/1710.10779) .[J] arXiv preprint arXiv:1710.10779.

- Soheil Feizi, Changho Suh, Fei Xia, David Tse .[Understanding GANs: the LQG Setting](https://arxiv.org/pdf/1710.10793) .[J] arXiv preprint arXiv:1710.10793.

- Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas .[StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks](https://arxiv.org/pdf/1710.10916) .[J] arXiv preprint arXiv:1710.10916.

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- Yannic Kilcher, Gary Becigneul, Thomas Hofmann .[Parametrizing filters of a CNN with a GAN](https://arxiv.org/pdf/1710.11386) .[J] arXiv preprint arXiv:1710.11386.

- Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon .[A SeqGAN for Polyphonic Music Generation](https://arxiv.org/pdf/1710.11418) .[J] arXiv preprint arXiv:1710.11418.

- Zhe-Cheng Fan, Yen-Lin Lai, Jyh-Shing Roger Jang .[SVSGAN: Singing Voice Separation via Generative Adversarial Network](https://arxiv.org/pdf/1710.11428) .[J] arXiv preprint arXiv:1710.11428.

- Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng .[Training GANs with Optimism](https://arxiv.org/pdf/1711.00141) .[J] arXiv preprint arXiv:1711.00141.

- Xinyue Zhu, Yifan Liu, Zengchang Qin, Jiahong Li .[Data Augmentation in Emotion Classification Using Generative Adversarial  Networks](https://arxiv.org/pdf/1711.00648) .[J] arXiv preprint arXiv:1711.00648.

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- Shibani Santurkar, Ludwig Schmidt, Aleksander Mądry .[A Classification-Based Perspective on GAN Distributions](https://arxiv.org/pdf/1711.00970) .[J] arXiv preprint arXiv:1711.00970.

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- Trung Le, Tu Dinh Nguyen, Dinh Phung .[KGAN: How to Break The Minimax Game in GAN](https://arxiv.org/pdf/1711.01744) .[J] arXiv preprint arXiv:1711.01744.

- Jiajun Zhang, Zhiguo Shi .[Deformable Deep Convolutional Generative Adversarial Network in  Microwave Based Hand Gesture Recognition System](https://arxiv.org/pdf/1711.01968) .[J] arXiv preprint arXiv:1711.01968.

- Dimitrios Marmanis, Wei Yao, Fathalrahman Adam, Mihai Datcu, Peter Reinartz, Konrad Schindler, Jan Dirk Wegner, Uwe Stilla .[Artificial Generation of Big Data for Improving Image Classification: A  Generative Adversarial Network Approach on SAR Data](https://arxiv.org/pdf/1711.02010) .[J] arXiv preprint arXiv:1711.02010.

- Chaoyun Zhang, Xi Ouyang, Paul Patras .[ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a  Generative Adversarial Neural Network](https://arxiv.org/pdf/1711.02413) .[J] arXiv preprint arXiv:1711.02413.

- Sanjeev Arora, Andrej Risteski, Yi Zhang .[Theoretical limitations of Encoder-Decoder GAN architectures](https://arxiv.org/pdf/1711.02651) .[J] arXiv preprint arXiv:1711.02651.

- Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu, Feng Qian .[Tensor-Generative Adversarial Network with Two-dimensional Sparse  Coding: Application to Real-time Indoor Localization](https://arxiv.org/pdf/1711.02666) .[J] arXiv preprint arXiv:1711.02666.

- Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He .[On the Discrimination-Generalization Tradeoff in GANs](https://arxiv.org/pdf/1711.02771) .[J] arXiv preprint arXiv:1711.02771.

- Zi-Yi Dou .[Metric Learning-based Generative Adversarial Network](https://arxiv.org/pdf/1711.02792) .[J] arXiv preprint arXiv:1711.02792.

- Liwei Cai, William Yang Wang .[KBGAN: Adversarial Learning for Knowledge Graph Embeddings](https://arxiv.org/pdf/1711.04071) .[J] arXiv preprint arXiv:1711.04071.

- Uiwon Hwang, Sungwoon Choi, Sungroh Yoon .[Disease Prediction from Electronic Health Records Using Generative Adversarial Networks](https://arxiv.org/pdf/1711.04126) .[J] arXiv preprint arXiv:1711.04126.

- Antreas Antoniou, Amos Storkey, Harrison Edwards .[Data Augmentation Generative Adversarial Networks](https://arxiv.org/pdf/1711.04340) .[J] arXiv preprint arXiv:1711.04340.

- Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng .[Sobolev GAN](https://arxiv.org/pdf/1711.04894) .[J] arXiv preprint arXiv:1711.04894.

- Yan Ke, Minqing Zhang, Jia Liu, Tingting Su, Xiaoyuan Yang .[Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks](https://arxiv.org/pdf/1711.04916) .[J] arXiv preprint arXiv:1711.04916.

- Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song .[TripletGAN: Training Generative Model with Triplet Loss](https://arxiv.org/pdf/1711.05084) .[J] arXiv preprint arXiv:1711.05084.

- Amélie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy .[XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings](https://arxiv.org/pdf/1711.05139) .[J] arXiv preprint arXiv:1711.05139.

- Taihong Xiao, Jiapeng Hong, Jinwen Ma .[DNA-GAN: Learning Disentangled Representations from Multi-Attribute  Images](https://arxiv.org/pdf/1711.05415) .[J] arXiv preprint arXiv:1711.05415.

- Chris Donahue, Bo Li, Rohit Prabhavalkar .[Exploring Speech Enhancement with Generative Adversarial Networks for  Robust Speech Recognition](https://arxiv.org/pdf/1711.05747) .[J] arXiv preprint arXiv:1711.05747.

- Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon .[How Generative Adversarial Networks and Its Variants Work: An Overview  of GAN](https://arxiv.org/pdf/1711.05914) .[J] arXiv preprint arXiv:1711.05914.

- Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua .[Global versus Localized Generative Adversarial Nets](https://arxiv.org/pdf/1711.06020) .[J] arXiv preprint arXiv:1711.06020.

- Joost van Amersfoort, Wenzhe Shi, Alejandro Acosta, Francisco Massa, Johannes Totz, Zehan Wang, Jose Caballero .[Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks](https://arxiv.org/pdf/1711.06045) .[J] arXiv preprint arXiv:1711.06045.

- Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu .[Two Birds with One Stone: Transforming and Generating Facial Images with  Iterative GAN](https://arxiv.org/pdf/1711.06078) .[J] arXiv preprint arXiv:1711.06078.

- Avisek Lahiri, Arnav Jain, Prabir Kumar Biswas, Pabitra Mitra .[Improving Consistency and Correctness of Sequence Inpainting using  Semantically Guided Generative Adversarial Network](https://arxiv.org/pdf/1711.06106) .[J] arXiv preprint arXiv:1711.06106.

- Renato Hermoza, Ivan Sipiran .[3D Reconstruction of Incomplete Archaeological Objects Using a  Generative Adversarial Network](https://arxiv.org/pdf/1711.06363) .[J] arXiv preprint arXiv:1711.06363.

- Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann .[Shape Inpainting using 3D Generative Adversarial Network and Recurrent  Convolutional Networks](https://arxiv.org/pdf/1711.06375) .[J] arXiv preprint arXiv:1711.06375.

- Joachim D. Curtó, Irene C. Zarza, Fernando De La Torre, Irwin King, Michael R. Lyu .[High-Resolution Deep Convolutional Generative Adversarial Networks](https://arxiv.org/pdf/1711.06491) .[J] arXiv preprint arXiv:1711.06491.

- Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas .[DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial  Networks](https://arxiv.org/pdf/1711.07064) .[J] arXiv preprint arXiv:1711.07064.

- Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, Premkumar Natarajan .[Bidirectional Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1711.07461) .[J] arXiv preprint arXiv:1711.07461.

- Ashley D. Edwards, Charles L. Isbell Jr .[Transferring Agent Behaviors from Videos via Motion GANs](https://arxiv.org/pdf/1711.07676) .[J] arXiv preprint arXiv:1711.07676.

- Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao .[Generative Adversarial Positive-Unlabelled Learning](https://arxiv.org/pdf/1711.08054) .[J] arXiv preprint arXiv:1711.08054.

- Wangli Hao, Zhaoxiang Zhang, He Guan .[CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual  Generation](https://arxiv.org/pdf/1711.08102) .[J] arXiv preprint arXiv:1711.08102.

- Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool .[Object Discovery By Generative Adversarial & Ranking Networks](https://arxiv.org/pdf/1711.08174) .[J] arXiv preprint arXiv:1711.08174.

- Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo .[GraphGAN: Graph Representation Learning with Generative Adversarial Nets](https://arxiv.org/pdf/1711.08267) .[J] arXiv preprint arXiv:1711.08267.

- Longhui Wei, Shiliang Zhang, Wen Gao, Qi Tian .[Person Transfer GAN to Bridge Domain Gap for Person Re-Identification](https://arxiv.org/pdf/1711.08565) .[J] arXiv preprint arXiv:1711.08565.

- Robin Winter, Djork-Arné Clevert .[IVE-GAN: Invariant Encoding Generative Adversarial Networks](https://arxiv.org/pdf/1711.08646) .[J] arXiv preprint arXiv:1711.08646.

- Shanshan Wang, Lei Zhang .[CatGAN: Coupled Adversarial Transfer for Domain Generation](https://arxiv.org/pdf/1711.08904) .[J] arXiv preprint arXiv:1711.08904.

- Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu .[Visual Feature Attribution using Wasserstein GANs](https://arxiv.org/pdf/1711.08998) .[J] arXiv preprint arXiv:1711.08998.

- Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo .[StarGAN: Unified Generative Adversarial Networks for Multi-Domain  Image-to-Image Translation](https://arxiv.org/pdf/1711.09020) .[J] arXiv preprint arXiv:1711.09020.

- Xiao Dong, Jiasong Wu, Ling Zhou .[Demystifying AlphaGo Zero as AlphaGo GAN](https://arxiv.org/pdf/1711.09091) .[J] arXiv preprint arXiv:1711.09091.

- Pramuditha Perera, Mahdi Abavisani, Vishal M. Patel .[In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks](https://arxiv.org/pdf/1711.09334) .[J] arXiv preprint arXiv:1711.09334.

- Xi Zhang, Siyu Zhou, Jiashi Feng, Hanjiang Lai, Bo Li, Yan Pan, Jian Yin, Shuicheng Yan .[HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal  Retrieval](https://arxiv.org/pdf/1711.09347) .[J] arXiv preprint arXiv:1711.09347.

- Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li .[Generative Adversarial Network for Abstractive Text Summarization](https://arxiv.org/pdf/1711.09357) .[J] arXiv preprint arXiv:1711.09357.

- Siyu Zhou, Weiqiang Zhao, Jiashi Feng, Hanjiang Lai, Yan Pan, Jian Yin, Shuicheng Yan .[Personalized and Occupational-aware Age Progression by Generative Adversarial Networks](https://arxiv.org/pdf/1711.09368) .[J] arXiv preprint arXiv:1711.09368.

- Emad Barsoum, John Kender, Zicheng Liu .[HP-GAN: Probabilistic 3D human motion prediction via GAN](https://arxiv.org/pdf/1711.09561) .[J] arXiv preprint arXiv:1711.09561.

- Matan Sela, Pingmei Xu, Junfeng He, Vidhya Navalpakkam, Dmitry Lagun .[GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation](https://arxiv.org/pdf/1711.09767) .[J] arXiv preprint arXiv:1711.09767.

- Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David Donoho, John Pauly .[Recurrent Generative Adversarial Networks for Proximal Learning and  Automated Compressive Image Recovery](https://arxiv.org/pdf/1711.10046) .[J] arXiv preprint arXiv:1711.10046.

- Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu .[Attentive Generative Adversarial Network for Raindrop Removal from a  Single Image](https://arxiv.org/pdf/1711.10098) .[J] arXiv preprint arXiv:1711.10098.

- Haoxuan You, Zhicheng Jiao, Haojun Xu, Jie Li, Ying Wang, Xinbo Gao .[Restricting Greed in Training of Generative Adversarial Network](https://arxiv.org/pdf/1711.10152) .[J] arXiv preprint arXiv:1711.10152.

- Geonmo Gu, Seong Tae Kim, Kihyun Kim, Wissam J. Baddar, Yong Man Ro .[Differential Generative Adversarial Networks: Synthesizing Non-linear  Facial Variations with Limited Number of Training Data](https://arxiv.org/pdf/1711.10267) .[J] arXiv preprint arXiv:1711.10267.

- Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet .[Are GANs Created Equal? A Large-Scale Study](https://arxiv.org/pdf/1711.10337) .[J] arXiv preprint arXiv:1711.10337.

- Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain .[Learning Face Age Progression: A Pyramid Architecture of GANs](https://arxiv.org/pdf/1711.10352) .[J] arXiv preprint arXiv:1711.10352.

- Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Chao Wang, Nan Wang .[Pipeline Generative Adversarial Networks for Facial Images Generation  with Multiple Attributes](https://arxiv.org/pdf/1711.10742) .[J] arXiv preprint arXiv:1711.10742.

- Vinay Jethava, Devdatt Dubhashi .[GANs for LIFE: Generative Adversarial Networks for Likelihood Free  Inference](https://arxiv.org/pdf/1711.11139) .[J] arXiv preprint arXiv:1711.11139.

- Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu .[Unsupervised Learning for Cell-level Visual Representation in  Histopathology Images with Generative Adversarial Networks](https://arxiv.org/pdf/1711.11317) .[J] arXiv preprint arXiv:1711.11317.

- Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro .[High-Resolution Image Synthesis and Semantic Manipulation with  Conditional GANs](https://arxiv.org/pdf/1711.11585) .[J] arXiv preprint arXiv:1711.11585.

- Alexandre Yahi, Rami Vanguri, Noémie Elhadad, Nicholas P. Tatonetti .[Generative Adversarial Networks for Electronic Health Records: A  Framework for Exploring and Evaluating Methods for Predicting Drug-Induced  Laboratory Test Trajectories](https://arxiv.org/pdf/1712.00164) .[J] arXiv preprint arXiv:1712.00164.

- Heng Wang, Zengchang Qin, Tao Wan .[Text Generation Based on Generative Adversarial Nets with Latent  Variable](https://arxiv.org/pdf/1712.00170) .[J] arXiv preprint arXiv:1712.00170.

- Nikolay Jetchev, Urs Bergmann, Calvin Seward .[GANosaic: Mosaic Creation with Generative Texture Manifolds](https://arxiv.org/pdf/1712.00269) .[J] arXiv preprint arXiv:1712.00269.

- Jian Zhang, Yuxin Peng, Mingkuan Yuan .[Unsupervised Generative Adversarial Cross-modal Hashing](https://arxiv.org/pdf/1712.00358) .[J] arXiv preprint arXiv:1712.00358.

- Samaneh Azadi, Matthew Fisher, Vladimir Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell .[Multi-Content GAN for Few-Shot Font Style Transfer](https://arxiv.org/pdf/1712.00516) .[J] arXiv preprint arXiv:1712.00516.

- Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman .[Splenomegaly Segmentation using Global Convolutional Kernels and  Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1712.00542) .[J] arXiv preprint arXiv:1712.00542.

- Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross .[GANGs: Generative Adversarial Network Games](https://arxiv.org/pdf/1712.00679) .[J] arXiv preprint arXiv:1712.00679.

- Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic .[GAGAN: Geometry-Aware Generative Adversarial Networks](https://arxiv.org/pdf/1712.00684) .[J] arXiv preprint arXiv:1712.00684.

- Xingyu Chen, Junzhi Yu, Shihan Kong, Zhengxing Wu, Xi Fang, Li Wen .[Towards Quality Advancement of Underwater Machine Vision with Generative Adversarial Networks](https://arxiv.org/pdf/1712.00736) .[J] arXiv preprint arXiv:1712.00736.

- Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel, Jiqing Wu, Luc Van Gool .[Face Translation between Images and Videos using Identity-aware CycleGAN](https://arxiv.org/pdf/1712.00971) .[J] arXiv preprint arXiv:1712.00971.

- Jiqing Wu, Zhiwu Huang, Janine Thoma, Luc Van Gool .[Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and  High Resolution Image Generation](https://arxiv.org/pdf/1712.01026) .[J] arXiv preprint arXiv:1712.01026.

- Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, Christian Theobalt .[GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB](https://arxiv.org/pdf/1712.01057) .[J] arXiv preprint arXiv:1712.01057.

- Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed Elgammal .[Imagine it for me: Generative Adversarial Approach for Zero-Shot  Learning from Noisy Texts](https://arxiv.org/pdf/1712.01381) .[J] arXiv preprint arXiv:1712.01381.

- Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu .[Multimodal Storytelling via Generative Adversarial Imitation Learning](https://arxiv.org/pdf/1712.01455) .[J] arXiv preprint arXiv:1712.01455.

- Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu .[Learning to Fuse Music Genres with Generative Adversarial Dual Learning](https://arxiv.org/pdf/1712.01456) .[J] arXiv preprint arXiv:1712.01456.

- Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Errol Colak, Joseph Barfett .[Generalization of Deep Neural Networks for Chest Pathology  Classification in X-Rays Using Generative Adversarial Networks](https://arxiv.org/pdf/1712.01636) .[J] arXiv preprint arXiv:1712.01636.

- Sihao Ding, Andreas Wallin .[Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1712.01833) .[J] arXiv preprint arXiv:1712.01833.

- Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge Belongie .[Generative Adversarial Perturbations](https://arxiv.org/pdf/1712.02328) .[J] arXiv preprint arXiv:1712.02328.

- Tatjana Chavdarova, François Fleuret .[SGAN: An Alternative Training of Generative Adversarial Networks](https://arxiv.org/pdf/1712.02330) .[J] arXiv preprint arXiv:1712.02330.

- Jifeng Wang, Xiang Li, Le Hui, Jian Yang .[Stacked Conditional Generative Adversarial Networks for Jointly Learning  Shadow Detection and Shadow Removal](https://arxiv.org/pdf/1712.02478) .[J] arXiv preprint arXiv:1712.02478.

- Tom Sercu, Youssef Mroueh .[Semi-Supervised Learning with IPM-based GANs: an Empirical Study](https://arxiv.org/pdf/1712.02505) .[J] arXiv preprint arXiv:1712.02505.

- Teng Zhang, Arnold Wiliem, Siqi Yang, Brian C. Lovell .[TV-GAN: Generative Adversarial Network Based Thermal to Visible Face  Recognition](https://arxiv.org/pdf/1712.02514) .[J] arXiv preprint arXiv:1712.02514.

- Adrian Bulat, Georgios Tzimiropoulos .[Super-FAN: Integrated facial landmark localization and super-resolution  of real-world low resolution faces in arbitrary poses with GANs](https://arxiv.org/pdf/1712.02765) .[J] arXiv preprint arXiv:1712.02765.

- Lukas Mosser, Olivier Dubrule, Martin J. Blunt .[Stochastic reconstruction of an oolitic limestone by Generative Adversarial networks](https://arxiv.org/pdf/1712.02854) .[J] arXiv preprint arXiv:1712.02854.

- Xiaohan Jin, Ye Qi, Shangxuan Wu .[CycleGAN Face-off](https://arxiv.org/pdf/1712.03451) .[J] arXiv preprint arXiv:1712.03451.

- Wissam J. Baddar, Geonmo Gu, Sangmin Lee, Yong Man Ro .[Dynamics Transfer GAN: Generating Video by Transferring Arbitrary  Temporal Dynamics from a Source Video to a Single Target Image](https://arxiv.org/pdf/1712.03534) .[J] arXiv preprint arXiv:1712.03534.

- Brian Dolhansky, Cristian Canton Ferrer .[Eye In-Painting with Exemplar Generative Adversarial Networks](https://arxiv.org/pdf/1712.03999) .[J] arXiv preprint arXiv:1712.03999.

- Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh .[PacGAN: The power of two samples in generative adversarial networks](https://arxiv.org/pdf/1712.04086) .[J] arXiv preprint arXiv:1712.04086.

- Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool .[Logo Synthesis and Manipulation with Clustered Generative Adversarial  Networks](https://arxiv.org/pdf/1712.04407) .[J] arXiv preprint arXiv:1712.04407.

- Dianna Radpour, Vivek Bheda .[Conditional Generative Adversarial Networks for Emoji Synthesis with  Word Embedding Manipulation](https://arxiv.org/pdf/1712.04421) .[J] arXiv preprint arXiv:1712.04421.

- Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, Stefanos Zafeiriou .[UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face  Recognition](https://arxiv.org/pdf/1712.04695) .[J] arXiv preprint arXiv:1712.04695.

- Junghoon Seo, Taegyun Jeon .[On reproduction of On the regularization of Wasserstein GANs](https://arxiv.org/pdf/1712.05882) .[J] arXiv preprint arXiv:1712.05882.

- Bingzhe Wu, Haodong Duan, Zhichao Liu, Guangyu Sun .[SRPGAN: Perceptual Generative Adversarial Network for Single Image Super  Resolution](https://arxiv.org/pdf/1712.05927) .[J] arXiv preprint arXiv:1712.05927.

- Santiago Pascual, Maruchan Park, Joan Serrà, Antonio Bonafonte, Kang-Hun Ahn .[Language and Noise Transfer in Speech Enhancement Generative Adversarial  Network](https://arxiv.org/pdf/1712.06340) .[J] arXiv preprint arXiv:1712.06340.

- Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, Stephen Paul Smolley .[On the Effectiveness of Least Squares Generative Adversarial Networks](https://arxiv.org/pdf/1712.06391) .[J] arXiv preprint arXiv:1712.06391.

- Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool .[ComboGAN: Unrestrained Scalability for Image Domain Translation](https://arxiv.org/pdf/1712.06909) .[J] arXiv preprint arXiv:1712.06909.

- Ming-ming Liu, Min-qing Zhang, Jia Liu, Ying-nan Zhang, Yan Ke .[Coverless Information Hiding Based on Generative adversarial networks](https://arxiv.org/pdf/1712.06951) .[J] arXiv preprint arXiv:1712.06951.

- Tengyuan Liang .[How Well Can Generative Adversarial Networks Learn Densities: A  Nonparametric View](https://arxiv.org/pdf/1712.08244) .[J] arXiv preprint arXiv:1712.08244.

- Yamaguchi Kousuke, Tanaka Kanji, Sugimoto Takuma .[Use of Generative Adversarial Network for Cross-Domain Change Detection](https://arxiv.org/pdf/1712.08868) .[J] arXiv preprint arXiv:1712.08868.

- Baiyang Wang, Diego Klabjan .[Generative Adversarial Nets for Multiple Text Corpora](https://arxiv.org/pdf/1712.09127) .[J] arXiv preprint arXiv:1712.09127.

### 2018

- Aliaksandr Siarohin, Enver Sangineto, Stephane Lathuiliere, Nicu Sebe .[Deformable GANs for Pose-based Human Image Generation](https://arxiv.org/pdf/1801.00055) .[J] arXiv preprint arXiv:1801.00055.

- Xing Di, Vishal M. Patel .[Face Synthesis from Visual Attributes via Sketch using Conditional VAEs  and GANs](https://arxiv.org/pdf/1801.00077) .[J] arXiv preprint arXiv:1801.00077.

- Mikołaj Bińkowski, Dougal J. Sutherland, Michael Arbel, Arthur Gretton .[Demystifying MMD GANs](https://arxiv.org/pdf/1801.01401) .[J] arXiv preprint arXiv:1801.01401.

- Peilun Li, Xiaodan Liang, Daoyuan Jia, Eric P. Xing .[Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption](https://arxiv.org/pdf/1801.01726) .[J] arXiv preprint arXiv:1801.01726.

- Chengyuan Zhang, Lin Wu, Yang Wang .[Crossing Generative Adversarial Networks for Cross-View Person  Re-identification](https://arxiv.org/pdf/1801.01760) .[J] arXiv preprint arXiv:1801.01760.

- Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan .[Synthetic Data Augmentation using GAN for Improved Liver Lesion  Classification](https://arxiv.org/pdf/1801.02385) .[J] arXiv preprint arXiv:1801.02385.

- Adrian Albert, Emanuele Strano, Jasleen Kaur, Marta Gonzalez .[Modeling urbanization patterns with generative adversarial networks](https://arxiv.org/pdf/1801.02710) .[J] arXiv preprint arXiv:1801.02710.

- Wengling Chen, James Hays .[SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis](https://arxiv.org/pdf/1801.02753) .[J] arXiv preprint arXiv:1801.02753.

- Ashutosh Kumar, Arijit Biswas, Subhajit Sanyal .[eCommerceGAN : A Generative Adversarial Network for E-commerce](https://arxiv.org/pdf/1801.03244) .[J] arXiv preprint arXiv:1801.03244.

- Ziqiang Zheng, Chao Wang, Zhibin Yu, Haiyong Zheng, Bing Zheng .[Instance Map based Image Synthesis with a Denoising Generative Adversarial Network](https://arxiv.org/pdf/1801.03252) .[J] arXiv preprint arXiv:1801.03252.

- Yunyi Liang, Zhiyong Cui, Yu Tian, Huimiao Chen, Yinhai Wang .[A Deep Generative Adversarial Architecture for Network-Wide  Spatial-Temporal Traffic State Estimation](https://arxiv.org/pdf/1801.03818) .[J] arXiv preprint arXiv:1801.03818.

- Cameron Fabbri, Md Jahidul Islam, Junaed Sattar .[Enhancing Underwater Imagery using Generative Adversarial Networks](https://arxiv.org/pdf/1801.04011) .[J] arXiv preprint arXiv:1801.04011.

- Saifuddin Hitawala .[Comparative Study on Generative Adversarial Networks](https://arxiv.org/pdf/1801.04271) .[J] arXiv preprint arXiv:1801.04271.

- Lars Mescheder, Andreas Geiger, Sebastian Nowozin .[Which Training Methods for GANs do actually Converge?](https://arxiv.org/pdf/1801.04406) .[J] arXiv preprint arXiv:1801.04406.

- Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser .[Unsupervised Cipher Cracking Using Discrete GANs](https://arxiv.org/pdf/1801.04883) .[J] arXiv preprint arXiv:1801.04883.

- Komei Sugiura, Hisashi Kawai .[Grounded Language Understanding for Manipulation Instructions Using  GAN-Based Classification](https://arxiv.org/pdf/1801.05096) .[J] arXiv preprint arXiv:1801.05096.

- Rie Johnson, Tong Zhang .[Composite Functional Gradient Learning of Generative Adversarial Models](https://arxiv.org/pdf/1801.06309) .[J] arXiv preprint arXiv:1801.06309.

- Aishik Konwer, Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia, Prithaj Banerjee, Partha Pratim Roy, Umapada Pal .[Staff line Removal using Generative Adversarial Networks](https://arxiv.org/pdf/1801.07141) .[J] arXiv preprint arXiv:1801.07141.

- Ankan Kumar Bhunia, Ayan Kumar Bhunia, Prithaj Banerjee, Aishik Konwer, Abir Bhowmick, Partha Pratim Roy, Umapada Pal .[Word Level Font-to-Font Image Translation using Convolutional Recurrent  Generative Adversarial Networks](https://arxiv.org/pdf/1801.07156) .[J] arXiv preprint arXiv:1801.07156.

- Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp .[Fluorescence Microscopy Image Segmentation Using Convolutional Neural  Network With Generative Adversarial Networks](https://arxiv.org/pdf/1801.07198) .[J] arXiv preprint arXiv:1801.07198.

- Unaiza Ahsan, Chen Sun, Irfan Essa .[DiscrimNet: Semi-Supervised Action Recognition from Videos using  Generative Adversarial Networks](https://arxiv.org/pdf/1801.07230) .[J] arXiv preprint arXiv:1801.07230.

- Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey .[High Resolution Face Completion with Multiple Controllable Attributes  via Fully End-to-End Progressive Generative Adversarial Networks](https://arxiv.org/pdf/1801.07632) .[J] arXiv preprint arXiv:1801.07632.

- William Fedus, Ian Goodfellow, Andrew M. Dai .[MaskGAN: Better Text Generation via Filling in the](https://arxiv.org/pdf/1801.07736) .[J] arXiv preprint arXiv:1801.07736.

- Peipei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun .[Global and Local Consistent Age Generative Adversarial Networks](https://arxiv.org/pdf/1801.08390) .[J] arXiv preprint arXiv:1801.08390.

- Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng .[Generating Handwritten Chinese Characters using CycleGAN](https://arxiv.org/pdf/1801.08624) .[J] arXiv preprint arXiv:1801.08624.

- Wenqiang Xu, Yonglu Li, Cewu Lu .[Generating Instance Segmentation Annotation by Geometry-guided GAN](https://arxiv.org/pdf/1801.08839) .[J] arXiv preprint arXiv:1801.08839.

- Andres C Rodriguez, Tomasz Kacprzak, Aurelien Lucchi, Adam Amara, Raphael Sgier, Janis Fluri, Thomas Hofmann, Alexandre Réfrégier .[Fast Cosmic Web Simulations with Generative Adversarial Networks](https://arxiv.org/pdf/1801.09070) .[J] arXiv preprint arXiv:1801.09070.

- Behnaz Nojavanasghari, Yuchi Huang, Saad Khan .[Interactive Generative Adversarial Networks for Facial Expression  Generation in Dyadic Interactions](https://arxiv.org/pdf/1801.09092) .[J] arXiv preprint arXiv:1801.09092.

- Duhyeon Bang, Hyunjung Shim .[Improved Training of Generative Adversarial Networks Using  Representative Features](https://arxiv.org/pdf/1801.09195) .[J] arXiv preprint arXiv:1801.09195.

- You Xie, Erik Franz, Mengyu Chu, Nils Thuerey .[tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution  Fluid Flow](https://arxiv.org/pdf/1801.09710) .[J] arXiv preprint arXiv:1801.09710.

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- Zilong Zhong, Jonathan Li .[Generative Adversarial Networks and Probabilistic Graph Models for  Hyperspectral Image Classification](https://arxiv.org/pdf/1802.03495) .[J] arXiv preprint arXiv:1802.03495.

- Chris Donahue, Julian McAuley, Miller Puckette .[Synthesizing Audio with Generative Adversarial Networks](https://arxiv.org/pdf/1802.04208) .[J] arXiv preprint arXiv:1802.04208.

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- Weishong Dong, Ming Yuan, Xin Li, Guangming Shi .[Joint Demosaicing and Denoising with Perceptual Optimization on a  Generative Adversarial Network](https://arxiv.org/pdf/1802.04723) .[J] arXiv preprint arXiv:1802.04723.

- Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp .[Satellite Image Forgery Detection and Localization Using GAN and  One-Class Classifier](https://arxiv.org/pdf/1802.04881) .[J] arXiv preprint arXiv:1802.04881.

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- Lukas Mosser, Olivier Dubrule, Martin J. Blunt .[Conditioning of three-dimensional generative adversarial networks for  pore and reservoir-scale models](https://arxiv.org/pdf/1802.05622) .[J] arXiv preprint arXiv:1802.05622.

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- Yang Gao, Rita Singh, Bhiksha Raj .[Voice Impersonation using Generative Adversarial Networks](https://arxiv.org/pdf/1802.06840) .[J] arXiv preprint arXiv:1802.06840.

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- Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan .[Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for  Improved Automated Lesion Detection](https://arxiv.org/pdf/1802.07846) .[J] arXiv preprint arXiv:1802.07846.

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- Viraj Shah, Chinmay Hegde .[Solving Linear Inverse Problems Using GAN Priors: An Algorithm with  Provable Guarantees](https://arxiv.org/pdf/1802.08406) .[J] arXiv preprint arXiv:1802.08406.

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- Shaobo Fang, Zeman Shao, Runyu Mao, Chichen Fu, Deborah A. Kerr, Carol J. Boushey, Edward J. Delp, Fengqing Zhu .[Single-View Food Portion Estimation: Learning Image-to-Energy Mappings  Using Generative Adversarial Networks](https://arxiv.org/pdf/1802.09670) .[J] arXiv preprint arXiv:1802.09670.

- Zhi Xu, Chengtao Li, Stefanie Jegelka .[Robust GANs against Dishonest Adversaries](https://arxiv.org/pdf/1802.09700) .[J] arXiv preprint arXiv:1802.09700.

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- Ugur Demir, Gozde Unal .[Patch-Based Image Inpainting with Generative Adversarial Networks](https://arxiv.org/pdf/1803.07422) .[J] arXiv preprint arXiv:1803.07422.

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- Dominic Stark, Barthelemy Launet, Kevin Schawinski, Ce Zhang, Michael Koss, M. Dennis Turp, Lia F. Sartori, Hantian Zhang, Yiru Chen, Anna K. Weigel .[PSFGAN: a generative adversarial network system for separating quasar  point sources and host galaxy light](https://arxiv.org/pdf/1803.08925) .[J] arXiv preprint arXiv:1803.08925.

- Wenhao Ding, Liang He .[MTGAN: Speaker Verification through Multitasking Triplet Generative  Adversarial Networks](https://arxiv.org/pdf/1803.09059) .[J] arXiv preprint arXiv:1803.09059.

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- Mathijs Pieters, Marco Wiering .[Comparing Generative Adversarial Network Techniques for Image Creation  and Modification](https://arxiv.org/pdf/1803.09093) .[J] arXiv preprint arXiv:1803.09093.

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- Libing Geng, Yan Pan, Jikai Chen, Hanjiang Lai .[Regularizing Deep Hashing Networks Using GAN Generated Fake Images](https://arxiv.org/pdf/1803.09466) .[J] arXiv preprint arXiv:1803.09466.

- Giovanni Mariani, Florian Scheidegger, Roxana Istrate, Costas Bekas, Cristiano Malossi .[BAGAN: Data Augmentation with Balancing GAN](https://arxiv.org/pdf/1803.09655) .[J] arXiv preprint arXiv:1803.09655.

- Ke Wang, Junbo Zhang, Sining Sun, Yujun Wang, Fei Xiang, Lei Xie .[Investigating Generative Adversarial Networks based Speech  Dereverberation for Robust Speech Recognition](https://arxiv.org/pdf/1803.10132) .[J] arXiv preprint arXiv:1803.10132.

- Taihong Xiao, Jiapeng Hong, Jinwen Ma .[ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple  Face Attributes](https://arxiv.org/pdf/1803.10562) .[J] arXiv preprint arXiv:1803.10562.

- Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi .[Social GAN: Socially Acceptable Trajectories with Generative Adversarial  Networks](https://arxiv.org/pdf/1803.10892) .[J] arXiv preprint arXiv:1803.10892.

- Hideo Terada, Hayaru Shouno .[B-DCGAN:Evaluation of Binarized DCGAN for FPGA](https://arxiv.org/pdf/1803.10930) .[J] arXiv preprint arXiv:1803.10930.

- Hyeongki Kim .[Dihedral angle prediction using generative adversarial networks](https://arxiv.org/pdf/1803.10996) .[J] arXiv preprint arXiv:1803.10996.

- P Manisha, Sujit Gujar .[Generative Adversarial Networks (GANs): What it can generate and What it  cannot?](https://arxiv.org/pdf/1804.00140) .[J] arXiv preprint arXiv:1804.00140.

- Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda .[I-vector Transformation Using Conditional Generative Adversarial  Networks for Short Utterance Speaker Verification](https://arxiv.org/pdf/1804.00290) .[J] arXiv preprint arXiv:1804.00290.

- Wen-Cheng Chen, Chien-Wen Chen, Min-Chun Hu .[SyncGAN: Synchronize the Latent Space of Cross-modal Generative  Adversarial Networks](https://arxiv.org/pdf/1804.00410) .[J] arXiv preprint arXiv:1804.00410.

- Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher .[A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech  Domain Adaptation](https://arxiv.org/pdf/1804.00522) .[J] arXiv preprint arXiv:1804.00522.

- Kemal Davaslioglu, Yalin E. Sagduyu .[Generative Adversarial Learning for Spectrum Sensing](https://arxiv.org/pdf/1804.00709) .[J] arXiv preprint arXiv:1804.00709.

- Lauri Juvela, Bajibabu Bollepalli, Xin Wang, Hirokazu Kameoka, Manu Airaksinen, Junichi Yamagishi, Paavo Alku .[Speech waveform synthesis from MFCC sequences with Generative Adversarial networks](https://arxiv.org/pdf/1804.00920) .[J] arXiv preprint arXiv:1804.00920.

- M Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni .[StainGAN: Stain Style Transfer for Digital Histological Images](https://arxiv.org/pdf/1804.01601) .[J] arXiv preprint arXiv:1804.01601.

- Anvita Gupta, James Zou .[Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for  Optimizing Protein Functions](https://arxiv.org/pdf/1804.01694) .[J] arXiv preprint arXiv:1804.01694.

- Xi Ouyang, Yu Cheng, Yifan Jiang, Chun-Liang Li, Pan Zhou .[Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and  Beyond](https://arxiv.org/pdf/1804.02047) .[J] arXiv preprint arXiv:1804.02047.

- Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Hiroyasu Ando .[Generative adversarial network-based approach to signal reconstruction  from magnitude spectrograms](https://arxiv.org/pdf/1804.02181) .[J] arXiv preprint arXiv:1804.02181.

- Mehrad Moradshahi, Utkarsh Contractor .[Language Modeling with Generative AdversarialNetworks](https://arxiv.org/pdf/1804.02617) .[J] arXiv preprint arXiv:1804.02617.

- Tiantian Wang, Zhuzhong Qian, Sanglu Lu .[PingAn: An Insurance Scheme for Job Acceleration in Geo-distributed Big  Data Analytics System](https://arxiv.org/pdf/1804.02817) .[J] arXiv preprint arXiv:1804.02817.

- Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool .[Generative Adversarial Networks for Extreme Learned Image Compression](https://arxiv.org/pdf/1804.02958) .[J] arXiv preprint arXiv:1804.02958.

- Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal .[Modular Generative Adversarial Networks](https://arxiv.org/pdf/1804.03343) .[J] arXiv preprint arXiv:1804.03343.

- Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang .[Graphical Generative Adversarial Networks](https://arxiv.org/pdf/1804.03429) .[J] arXiv preprint arXiv:1804.03429.

- Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima .[RSGAN: Face Swapping and Editing using Face and Hair Representation in  Latent Spaces](https://arxiv.org/pdf/1804.03447) .[J] arXiv preprint arXiv:1804.03447.

- Xin Yi, Ekta Walia, Paul Babyn .[Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image  Classification](https://arxiv.org/pdf/1804.03700) .[J] arXiv preprint arXiv:1804.03700.

- Yassir Saquil, Kwang In Kim, Peter Hall .[Ranking Generative Adversarial Networks: Subjective Control over  Semantic Image Attributes](https://arxiv.org/pdf/1804.04082) .[J] arXiv preprint arXiv:1804.04082.

- Christoph Baur, Shadi Albarqouni, Nassir Navab .[MelanoGANs: High Resolution Skin Lesion Synthesis with GANs](https://arxiv.org/pdf/1804.04338) .[J] arXiv preprint arXiv:1804.04338.

- Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gozde Unal .[Generative Adversarial Training for MRA Image Synthesis Using  Multi-Contrast MRI](https://arxiv.org/pdf/1804.04366) .[J] arXiv preprint arXiv:1804.04366.

- Jelmer M. Wolterink, Tim Leiner, Ivana Isgum .[Blood Vessel Geometry Synthesis using Generative Adversarial Networks](https://arxiv.org/pdf/1804.04381) .[J] arXiv preprint arXiv:1804.04381.

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- Indrasis Chakraborty, Rudrasis Chakraborty, Draguna Vrabie .[Generative Adversarial Network based Autoencoder: Application to fault  detection problem for closed loop dynamical systems](https://arxiv.org/pdf/1804.05320) .[J] arXiv preprint arXiv:1804.05320.

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- Michael Gadermayr, Laxmi Gupta, Barbara M. Klinkhammer, Peter Boor, Dorit Merhof .[Unsupervisedly Training GANs for Segmenting Digital Pathology with  Automatically Generated Annotations](https://arxiv.org/pdf/1805.10059) .[J] arXiv preprint arXiv:1805.10059.

- Vivek Kumar Singh, Santiago Romani, Hatem A.Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents Barrena, Saddam Abdulwahab, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig .[Conditional Generative Adversarial and Convolutional Networks for X-ray  Breast Mass Segmentation and Shape Classification](https://arxiv.org/pdf/1805.10207) .[J] arXiv preprint arXiv:1805.10207.

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- Salman Ul Hassan Dar, Mahmut Yurt, Mohammad Shahdloo, Muhammed Emrullah Ildız, Tolga Çukur .[Synergistic Reconstruction and Synthesis via Generative Adversarial  Networks for Accelerated Multi-Contrast MRI](https://arxiv.org/pdf/1805.10704) .[J] arXiv preprint arXiv:1805.10704.

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- Federico Becattini, Lorenzo Berlincioni, Leonardo Galteri, Lorenzo Seidenari, Alberto Del Bimbo .[Semantic Road Layout Understanding by Generative Adversarial Inpainting](https://arxiv.org/pdf/1805.11746) .[J] arXiv preprint arXiv:1805.11746.

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- Nicola De Cao, Thomas Kipf .[MolGAN: An implicit generative model for small molecular graphs](https://arxiv.org/pdf/1805.11973) .[J] arXiv preprint arXiv:1805.11973.

- Eitan Richardson, Yair Weiss .[On GANs and GMMs](https://arxiv.org/pdf/1805.12462) .[J] arXiv preprint arXiv:1805.12462.

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- Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe .[Whitening and Coloring transform for GANs](https://arxiv.org/pdf/1806.00420) .[J] arXiv preprint arXiv:1806.00420.

- Kaustuv Datta, Deepak Kar, Debarati Roy .[Unfolding with Generative Adversarial Networks](https://arxiv.org/pdf/1806.00433) .[J] arXiv preprint arXiv:1806.00433.

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- Alan Richardson .[Generative Adversarial Networks for Model Order Reduction in Seismic  Full-Waveform Inversion](https://arxiv.org/pdf/1806.00828) .[J] arXiv preprint arXiv:1806.00828.

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- Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Silvio Savarese .[SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and  Physical Constraints](https://arxiv.org/pdf/1806.01482) .[J] arXiv preprint arXiv:1806.01482.

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- Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo .[StarGAN-VC: Non-parallel many-to-many voice conversion with star  generative adversarial networks](https://arxiv.org/pdf/1806.02169) .[J] arXiv preprint arXiv:1806.02169.

- Nicolas Audebert (OBELIX, DTIS, ONERA, Université Paris Saclay), Bertrand Le Saux (DTIS, ONERA, Université Paris Saclay), Sébastien Lefèvre (OBELIX) .[Generative Adversarial Networks for Realistic Synthesis of Hyperspectral  Samples](https://arxiv.org/pdf/1806.02583) .[J] arXiv preprint arXiv:1806.02583.

- Tiziano Zingales, Ingo Peter Waldmann .[ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional  Generative Adversarial Networks](https://arxiv.org/pdf/1806.02906) .[J] arXiv preprint arXiv:1806.02906.

- Jinsung Yoon, James Jordon, Mihaela van der Schaar .[GAIN: Missing Data Imputation using Generative Adversarial Nets](https://arxiv.org/pdf/1806.02920) .[J] arXiv preprint arXiv:1806.02920.

- Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin .[JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets](https://arxiv.org/pdf/1806.02978) .[J] arXiv preprint arXiv:1806.02978.

- Xu Ouyang, Xi Zhang, Di Ma, Gady Agam .[Generating Image Sequence from Description with LSTM Conditional GAN](https://arxiv.org/pdf/1806.03027) .[J] arXiv preprint arXiv:1806.03027.

- Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim .[Data Synthesis based on Generative Adversarial Networks](https://arxiv.org/pdf/1806.03384) .[J] arXiv preprint arXiv:1806.03384.

- Weinan Zhang .[Generative Adversarial Nets for Information Retrieval: Fundamentals and  Advances](https://arxiv.org/pdf/1806.03577) .[J] arXiv preprint arXiv:1806.03577.

- Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li .[VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with  Atlas Guided Generation and Voxel-to-voxel Discrimination](https://arxiv.org/pdf/1806.03619) .[J] arXiv preprint arXiv:1806.03619.

- Lukas Mosser, Olivier Dubrule, Martin J. Blunt .[Stochastic seismic waveform inversion using generative adversarial  networks as a geological prior](https://arxiv.org/pdf/1806.03720) .[J] arXiv preprint arXiv:1806.03720.

- Yash Upadhyay, Paul Schrater .[Generative Adversarial Network Architectures For Image Synthesis Using  Capsule Networks](https://arxiv.org/pdf/1806.03796) .[J] arXiv preprint arXiv:1806.03796.

- Aly Magassouba, Komei Sugiura, Hisashi Kawai .[A Multimodal Classifier Generative Adversarial Network for Carry and  Place Tasks from Ambiguous Language Instructions](https://arxiv.org/pdf/1806.03847) .[J] arXiv preprint arXiv:1806.03847.

- Vivek Kumar Singh, Hatem Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostaf Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romani, Domenec Puig .[Retinal Optic Disc Segmentation using Conditional Generative Adversarial  Network](https://arxiv.org/pdf/1806.03905) .[J] arXiv preprint arXiv:1806.03905.

- Raeid Saqur, Sal Vivona .[CapsGAN: Using Dynamic Routing for Generative Adversarial Networks](https://arxiv.org/pdf/1806.03968) .[J] arXiv preprint arXiv:1806.03968.

- Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Carlo S. Regazzoni .[Hierarchy of GANs for learning embodied self-awareness model](https://arxiv.org/pdf/1806.04012) .[J] arXiv preprint arXiv:1806.04012.

- Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura .[CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation](https://arxiv.org/pdf/1806.04051) .[J] arXiv preprint arXiv:1806.04051.

- Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar .[The Unusual Effectiveness of Averaging in GAN Training](https://arxiv.org/pdf/1806.04498) .[J] arXiv preprint arXiv:1806.04498.

- Jianming Lv, Xintong Wang .[Cross-dataset Person Re-Identification Using Similarity Preserved  Generative Adversarial Networks](https://arxiv.org/pdf/1806.04533) .[J] arXiv preprint arXiv:1806.04533.

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- Xueqing Deng, Yi Zhu, Shawn Newsam .[What Is It Like Down There? Generating Dense Ground-Level Views and  Image Features From Overhead Imagery Using Conditional Generative Adversarial  Networks](https://arxiv.org/pdf/1806.05129) .[J] arXiv preprint arXiv:1806.05129.

- Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes .[Efficient Active Learning for Image Classification and Segmentation  using a Sample Selection and Conditional Generative Adversarial Network](https://arxiv.org/pdf/1806.05473) .[J] arXiv preprint arXiv:1806.05473.

- Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann .[EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane  Detection](https://arxiv.org/pdf/1806.05525) .[J] arXiv preprint arXiv:1806.05525.

- Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos .[Generative Adversarial Networks and Perceptual Losses for Video  Super-Resolution](https://arxiv.org/pdf/1806.05764) .[J] arXiv preprint arXiv:1806.05764.

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- Karim Armanious, Chenming Yang, Marc Fischer, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang .[MedGAN: Medical Image Translation using GANs](https://arxiv.org/pdf/1806.06397) .[J] arXiv preprint arXiv:1806.06397.

- Jonas Adler, Sebastian Lunz .[Banach Wasserstein GAN](https://arxiv.org/pdf/1806.06621) .[J] arXiv preprint arXiv:1806.06621.

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- Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski .[BinGAN: Learning Compact Binary Descriptors with a Regularized GAN](https://arxiv.org/pdf/1806.06778) .[J] arXiv preprint arXiv:1806.06778.

- Qiqi Zhang, Ying Liu .[Improving brain computer interface performance by data augmentation with  conditional Deep Convolutional Generative Adversarial Networks](https://arxiv.org/pdf/1806.07108) .[J] arXiv preprint arXiv:1806.07108.

- Tom Kelly, Paul Guerrero, Anthony Steed, Peter Wonka, Niloy J. Mitra .[FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using  Style-Synchonized GANs](https://arxiv.org/pdf/1806.07179) .[J] arXiv preprint arXiv:1806.07179.

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- Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Weinberger .[An empirical study on evaluation metrics of generative adversarial  networks](https://arxiv.org/pdf/1806.07755) .[J] arXiv preprint arXiv:1806.07755.

- Per Welander, Simon Karlsson, Anders Eklund .[Generative Adversarial Networks for Image-to-Image Translation on  Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT](https://arxiv.org/pdf/1806.07777) .[J] arXiv preprint arXiv:1806.07777.

- Gökhan Yildirim, Calvin Seward, Urs Bergmann .[Disentangling Multiple Conditional Inputs in GANs](https://arxiv.org/pdf/1806.07819) .[J] arXiv preprint arXiv:1806.07819.

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- Savas Ozkan, Akin Ozkan .[KinshipGAN: Synthesizing of Kinship Faces From Family Photos by  Regularizing a Deep Face Network](https://arxiv.org/pdf/1806.08600) .[J] arXiv preprint arXiv:1806.08600.

- Diego R. Lucio, Rayson Laroca, Evair Severo, Alceu S. Britto Jr., David Menotti .[Fully Convolutional Networks and Generative Adversarial Networks Applied  to Sclera Segmentation](https://arxiv.org/pdf/1806.08722) .[J] arXiv preprint arXiv:1806.08722.

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- Shih-hong Tsai .[Customizing an Adversarial Example Generator with Class-Conditional GANs](https://arxiv.org/pdf/1806.10496) .[J] arXiv preprint arXiv:1806.10496.

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- Evgeny Izutov .[High Diversity Attribute Guided Face Generation with GANs](https://arxiv.org/pdf/1806.10982) .[J] arXiv preprint arXiv:1806.10982.

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- Fuzhou Gong, Zigeng Xia .[Generate the corresponding Image from Text Description using Modified  GAN-CLS Algorithm](https://arxiv.org/pdf/1806.11302) .[J] arXiv preprint arXiv:1806.11302.

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- JunPing Wang, WenSheng Zhang, Ian Thomas, ShiHui Duan, YouKang Shi .[Multi-Task Generative Adversarial Nets with Shared Memory for  Cross-Domain Coordination Control](https://arxiv.org/pdf/1807.00298) .[J] arXiv preprint arXiv:1807.00298.

- Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan .[Channel Agnostic End-to-End Learning based Communication Systems with  Conditional GAN](https://arxiv.org/pdf/1807.00447) .[J] arXiv preprint arXiv:1807.00447.

- Alexia Jolicoeur-Martineau .[The relativistic discriminator: a key element missing from standard GAN](https://arxiv.org/pdf/1807.00734) .[J] arXiv preprint arXiv:1807.00734.

- Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu .[Understanding the Effectiveness of Lipschitz Constraint in Training of  GANs via Gradient Analysis](https://arxiv.org/pdf/1807.00751) .[J] arXiv preprint arXiv:1807.00751.

- Xinhan Di, Pengqian Yu, Meng Tian .[Ambient Hidden Space of Generative Adversarial Networks](https://arxiv.org/pdf/1807.00780) .[J] arXiv preprint arXiv:1807.00780.

- Duhyeon Bang, Hyunjung Shim .[Resembled Generative Adversarial Networks: Two Domains with Similar  Attributes](https://arxiv.org/pdf/1807.00947) .[J] arXiv preprint arXiv:1807.00947.

- Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé .[Modular Vehicle Control for Transferring Semantic Information to Unseen  Weather Conditions using GANs](https://arxiv.org/pdf/1807.01001) .[J] arXiv preprint arXiv:1807.01001.

- Masanari Kimura, Takashi Yanagihara .[Semi-supervised Anomaly Detection Using GANs for Visual Inspection in  Noisy Training Data](https://arxiv.org/pdf/1807.01136) .[J] arXiv preprint arXiv:1807.01136.

- Ramiro Camino, Christian Hammerschmidt, Radu State .[Generating Multi-Categorical Samples with Generative Adversarial  Networks](https://arxiv.org/pdf/1807.01202) .[J] arXiv preprint arXiv:1807.01202.

- Victor Berger, Michèle Sebag .[New Losses for Generative Adversarial Learning](https://arxiv.org/pdf/1807.01290) .[J] arXiv preprint arXiv:1807.01290.

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- Jiali Duan, Xiaoyuan Guo, Yuhang Song, Chao Yang, C.-C. Jay Kuo .[PortraitGAN for Flexible Portrait Manipulation](https://arxiv.org/pdf/1807.01826) .[J] arXiv preprint arXiv:1807.01826.

- Martin Erdmann, Jonas Glombitza, Thorben Quast .[Precise simulation of electromagnetic calorimeter showers using a  Wasserstein Generative Adversarial Network](https://arxiv.org/pdf/1807.01954) .[J] arXiv preprint arXiv:1807.01954.

- Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang, Jyh-Shing R. Jang .[Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium  Generative Adversarial Networks](https://arxiv.org/pdf/1807.02254) .[J] arXiv preprint arXiv:1807.02254.

- Dimitrios Korkinof, Tobias Rijken, Michael O'Neill, Joseph Yearsley, Hugh Harvey, Ben Glocker .[High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks](https://arxiv.org/pdf/1807.03401) .[J] arXiv preprint arXiv:1807.03401.

- Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang .[Generative Adversarial Networks with Decoder-Encoder Output Noise](https://arxiv.org/pdf/1807.03923) .[J] arXiv preprint arXiv:1807.03923.

- Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh .[On catastrophic forgetting and mode collapse in Generative Adversarial  Networks](https://arxiv.org/pdf/1807.04015) .[J] arXiv preprint arXiv:1807.04015.

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- Anoop Cherian, Alan Sullivan .[Sem-GAN: Semantically-Consistent Image-to-Image Translation](https://arxiv.org/pdf/1807.04409) .[J] arXiv preprint arXiv:1807.04409.

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- Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly .[The GAN Landscape: Losses, Architectures, Regularization, and  Normalization](https://arxiv.org/pdf/1807.04720) .[J] arXiv preprint arXiv:1807.04720.

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- Rafael Valle, Wilson Cai, Anish Doshi .[TequilaGAN: How to easily identify GAN samples](https://arxiv.org/pdf/1807.04919) .[J] arXiv preprint arXiv:1807.04919.

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- Faraz Torabi, Garrett Warnell, Peter Stone .[Generative Adversarial Imitation from Observation](https://arxiv.org/pdf/1807.06158) .[J] arXiv preprint arXiv:1807.06158.

- Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan .[Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks](https://arxiv.org/pdf/1807.06489) .[J] arXiv preprint arXiv:1807.06489.

- Tim Sainburg, Marvin Thielk, Brad Theilman, Benjamin Migliori, Timothy Gentner .[Generative adversarial interpolative autoencoding: adversarial training  on latent space interpolations encourage convex latent distributions](https://arxiv.org/pdf/1807.06650) .[J] arXiv preprint arXiv:1807.06650.

- Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost .[Airline Passenger Name Record Generation using Generative Adversarial  Networks](https://arxiv.org/pdf/1807.06657) .[J] arXiv preprint arXiv:1807.06657.

- Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers .[CT Image Enhancement Using Stacked Generative Adversarial Networks and  Transfer Learning for Lesion Segmentation Improvement](https://arxiv.org/pdf/1807.07144) .[J] arXiv preprint arXiv:1807.07144.

- Christine Tanner, Firat Ozdemir, Romy Profanter, Valeriy Vishnevsky, Ender Konukoglu, Orcun Goksel .[Generative Adversarial Networks for MR-CT Deformable Image Registration](https://arxiv.org/pdf/1807.07349) .[J] arXiv preprint arXiv:1807.07349.

- Vineeth S. Bhaskara, Debanjan Bhattacharyya .[Emulating malware authors for proactive protection using GANs over a  distributed image visualization of dynamic file behavior](https://arxiv.org/pdf/1807.07525) .[J] arXiv preprint arXiv:1807.07525.

- Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell .[Compositional GAN: Learning Conditional Image Composition](https://arxiv.org/pdf/1807.07560) .[J] arXiv preprint arXiv:1807.07560.

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- Kyungjune Baek, Duhyeon Bang, Hyunjung Shim .[Editable Generative Adversarial Networks: Generating and Editing Faces  Simultaneously](https://arxiv.org/pdf/1807.07700) .[J] arXiv preprint arXiv:1807.07700.

- Dongyang Ao, Corneliu Octavian Dumitru, Gottfried Schwarz, Mihai Datcu .[Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X](https://arxiv.org/pdf/1807.07778) .[J] arXiv preprint arXiv:1807.07778.

- Eric Wu, Kevin Wu, David Cox, William Lotter .[Conditional Infilling GANs for Data Augmentation in Mammogram  Classification](https://arxiv.org/pdf/1807.08093) .[J] arXiv preprint arXiv:1807.08093.

- Abdullah Al-Dujaili, Tom Schmiedlechner, and Erik Hemberg, Una-May O'Reilly .[Towards Distributed Coevolutionary GANs](https://arxiv.org/pdf/1807.08194) .[J] arXiv preprint arXiv:1807.08194.

- Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung .[SiGAN: Siamese Generative Adversarial Network for Identity-Preserving  Face Hallucination](https://arxiv.org/pdf/1807.08370) .[J] arXiv preprint arXiv:1807.08370.

- Tomer Galanti, Sagie Benaim, Lior Wolf .[Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs](https://arxiv.org/pdf/1807.08501) .[J] arXiv preprint arXiv:1807.08501.

- Albert Pumarola, Antonio Agudo, Aleix M. Martinez, Alberto Sanfeliu, Francesc Moreno-Noguer .[GANimation: Anatomically-aware Facial Animation from a Single Image](https://arxiv.org/pdf/1807.09251) .[J] arXiv preprint arXiv:1807.09251.

- Rishi Sharma, Shane Barratt, Stefano Ermon, Vijay Pande .[Improved Training with Curriculum GANs](https://arxiv.org/pdf/1807.09295) .[J] arXiv preprint arXiv:1807.09295.

- Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel .[Learning Plannable Representations with Causal InfoGAN](https://arxiv.org/pdf/1807.09341) .[J] arXiv preprint arXiv:1807.09341.

- Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari .[How good is my GAN?](https://arxiv.org/pdf/1807.09499) .[J] arXiv preprint arXiv:1807.09499.

- Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon .[Multi-Agent Generative Adversarial Imitation Learning](https://arxiv.org/pdf/1807.09936) .[J] arXiv preprint arXiv:1807.09936.

- Sebastian Lutz, Konstantinos Amplianitis, Aljosa Smolic .[AlphaGAN: Generative adversarial networks for natural image matting](https://arxiv.org/pdf/1807.10088) .[J] arXiv preprint arXiv:1807.10088.

- Hoo-Chang Shin, Neil A Tenenholtz, Jameson K Rogers, Christopher G Schwarz, Matthew L Senjem, Jeffrey L Gunter, Katherine Andriole, Mark Michalski .[Medical Image Synthesis for Data Augmentation and Anonymization using  Generative Adversarial Networks](https://arxiv.org/pdf/1807.10225) .[J] arXiv preprint arXiv:1807.10225.

- Xuanqing Liu, Cho-Jui Hsieh .[From Adversarial Training to Generative Adversarial Networks](https://arxiv.org/pdf/1807.10454) .[J] arXiv preprint arXiv:1807.10454.

- Wayne Wu, Yunxuan Zhang, Cheng Li, Chen Qian, Chen Change Loy .[ReenactGAN: Learning to Reenact Faces via Boundary Transfer](https://arxiv.org/pdf/1807.11079) .[J] arXiv preprint arXiv:1807.11079.

- Hao-Min Liu, Yi-Hsuan Yang .[Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network](https://arxiv.org/pdf/1807.11161) .[J] arXiv preprint arXiv:1807.11161.

- Gonçalo Mordido, Haojin Yang, Christoph Meinel .[Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators](https://arxiv.org/pdf/1807.11346) .[J] arXiv preprint arXiv:1807.11346.

- Adrian Bulat, Jing Yang, Georgios Tzimiropoulos .[To learn image super-resolution, use a GAN to learn how to do image  degradation first](https://arxiv.org/pdf/1807.11458) .[J] arXiv preprint arXiv:1807.11458.

- Yi Zhao, Shinji Takaki, Hieu-Thi Luong, Junichi Yamagishi, Daisuke Saito, Nobuaki Minematsu .[Wasserstein GAN and Waveform Loss-based Acoustic Model Training for  Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder](https://arxiv.org/pdf/1807.11679) .[J] arXiv preprint arXiv:1807.11679.

- Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R Devon Hjelm .[On-line Adaptative Curriculum Learning for GANs](https://arxiv.org/pdf/1808.00020) .[J] arXiv preprint arXiv:1808.00020.

- Ali Dabouei, Sobhan Soleymani, Hadi Kazemi, Seyed Mehdi Iranmanesh, Jeremy Dawson, Nasser M. Nasrabadi .[ID Preserving Generative Adversarial Network for Partial Latent  Fingerprint Reconstruction](https://arxiv.org/pdf/1808.00035) .[J] arXiv preprint arXiv:1808.00035.

- Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu .[Anomaly Detection via Minimum Likelihood Generative Adversarial Networks](https://arxiv.org/pdf/1808.00200) .[J] arXiv preprint arXiv:1808.00200.

- Xinge Zhu, Zhichao Yin, Jianping Shi, Hongsheng Li, Dahua Lin .[Generative Adversarial Frontal View to Bird View Synthesis](https://arxiv.org/pdf/1808.00327) .[J] arXiv preprint arXiv:1808.00327.

- Jinshan Pan, Yang Liu, Jiangxin Dong, Jiawei Zhang, Jimmy Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang .[Physics-Based Generative Adversarial Models for Image Restoration and  Beyond](https://arxiv.org/pdf/1808.00605) .[J] arXiv preprint arXiv:1808.00605.

- Ian Gemp, Sridhar Mahadevan .[Global Convergence to the Equilibrium of GANs using Variational  Inequalities](https://arxiv.org/pdf/1808.01531) .[J] arXiv preprint arXiv:1808.01531.

- Dror Freirich, Ron Meir, Aviv Tamar .[Distributional Multivariate Policy Evaluation and Exploration with the  Bellman GAN](https://arxiv.org/pdf/1808.01960) .[J] arXiv preprint arXiv:1808.01960.

- Xiaofeng Li, Ahmed Alkhateeb, Cihan Tepedelenlioğlu .[Generative Adversarial Estimation of Channel Covariance in Vehicular  Millimeter Wave Systems](https://arxiv.org/pdf/1808.02208) .[J] arXiv preprint arXiv:1808.02208.

- Ling Hu, Shu-Hao Wu, Weizhou Cai, Yuwei Ma, Xianghao Mu, Yuan Xu, Haiyan Wang, Yipu Song, Dong-Ling Deng, Chang-Ling Zou, Luyan Sun .[Quantum generative adversarial learning in a superconducting quantum  circuit](https://arxiv.org/pdf/1808.02893) .[J] arXiv preprint arXiv:1808.02893.

- Cihan Ongun, Alptekin Temizel .[Paired 3D Model Generation with Conditional Generative Adversarial  Networks](https://arxiv.org/pdf/1808.03082) .[J] arXiv preprint arXiv:1808.03082.

- Cheng-chieh Yeh, Po-chun Hsu, Ju-chieh Chou, Hung-yi Lee, Lin-shan Lee .[Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN  over Phoneme Posteriorgram Sequences](https://arxiv.org/pdf/1808.03113) .[J] arXiv preprint arXiv:1808.03113.

- Benjamin Bischke, Patrick Helber, Florian König, Damian Borth, Andreas Dengel .[Overcoming Missing and Incomplete Modalities with Generative Adversarial  Networks for Building Footprint Segmentation](https://arxiv.org/pdf/1808.03195) .[J] arXiv preprint arXiv:1808.03195.

- Jinfeng Zeng, Yufeng Wu, Jin-Guo Liu, Lei Wang, Jiangping Hu .[Learning and Inference on Generative Adversarial Quantum Circuits](https://arxiv.org/pdf/1808.03425) .[J] arXiv preprint arXiv:1808.03425.

- Maosong Ran, Jinrong Hu, Yang Chen, Hu Chen, Huaiqiang Sun, Jiliu Zhou, Yi Zhang .[Denoising of 3-D Magnetic Resonance Images Using a Residual  Encoder-Decoder Wasserstein Generative Adversarial Network](https://arxiv.org/pdf/1808.03941) .[J] arXiv preprint arXiv:1808.03941.

- Chia-Hung Wan, Shun-Po Chuang, Hung-Yi Lee .[Towards Audio to Scene Image Synthesis using Generative Adversarial  Network](https://arxiv.org/pdf/1808.04108) .[J] arXiv preprint arXiv:1808.04108.

- Chenyu You, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Michael W. Vannier, Punam K. Saha, Ge Wang .[CT Super-resolution GAN Constrained by the Identical, Residual, and  Cycle Learning Ensemble(GAN-CIRCLE)](https://arxiv.org/pdf/1808.04256) .[J] arXiv preprint arXiv:1808.04256.

- Longfei Liu, Sheng Li, Yisong Chen, Guoping Wang .[X-GANs: Image Reconstruction Made Easy for Extreme Cases](https://arxiv.org/pdf/1808.04432) .[J] arXiv preprint arXiv:1808.04432.

- Jonathan Lacotte, Yinlam Chow, Mohammad Ghavamzadeh, Marco Pavone .[Risk-Sensitive Generative Adversarial Imitation Learning](https://arxiv.org/pdf/1808.04468) .[J] arXiv preprint arXiv:1808.04468.

- Felix Lau, Tom Hendriks, Jesse Lieman-Sifry, Berk Norman, Sean Sall, Daniel Golden .[ScarGAN: Chained Generative Adversarial Networks to Simulate  Pathological Tissue on Cardiovascular MR Scans](https://arxiv.org/pdf/1808.04500) .[J] arXiv preprint arXiv:1808.04500.

- Hao Tang, Wei Wang, Dan Xu, Yan Yan, Nicu Sebe .[GestureGAN for Hand Gesture-to-Gesture Translation in the Wild](https://arxiv.org/pdf/1808.04859) .[J] arXiv preprint arXiv:1808.04859.

- Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh .[Recycle-GAN: Unsupervised Video Retargeting](https://arxiv.org/pdf/1808.05174) .[J] arXiv preprint arXiv:1808.05174.

- Mario Rüttgers, Sangseung Lee, Donghyun You .[Typhoon track prediction using satellite images in a Generative Adversarial Network](https://arxiv.org/pdf/1808.05382) .[J] arXiv preprint arXiv:1808.05382.

- Krishna Regmi, Ali Borji .[Cross-view image synthesis using geometry-guided conditional GANs](https://arxiv.org/pdf/1808.05469) .[J] arXiv preprint arXiv:1808.05469.

- Yi-Lin Tuan, Hung-Yi Lee .[Improving Conditional Sequence Generative Adversarial Networks by  Stepwise Evaluation](https://arxiv.org/pdf/1808.05599) .[J] arXiv preprint arXiv:1808.05599.

- Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang .[TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial  Networks](https://arxiv.org/pdf/1808.07582) .[J] arXiv preprint arXiv:1808.07582.

- Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici .[DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection  with GAN](https://arxiv.org/pdf/1808.07632) .[J] arXiv preprint arXiv:1808.07632.

- Ron Slossberg, Gil Shamai, Ron Kimmel .[High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks](https://arxiv.org/pdf/1808.08281) .[J] arXiv preprint arXiv:1808.08281.

- Mark Sabini, Gili Rusak .[Painting Outside the Box: Image Outpainting with GANs](https://arxiv.org/pdf/1808.08483) .[J] arXiv preprint arXiv:1808.08483.

- Pushparaja Murugan .[Facial Information Recovery from Heavily Damaged Images using Generative Adversarial Network- PART 1](https://arxiv.org/pdf/1808.08867) .[J] arXiv preprint arXiv:1808.08867.

- Wei Chen, Mark Fuge .[BézierGAN: Automatic Generation of Smooth Curves from Interpretable  Low-Dimensional Parameters](https://arxiv.org/pdf/1808.08871) .[J] arXiv preprint arXiv:1808.08871.

- Matan Ben-Yosef, Daphna Weinshall .[Gaussian Mixture Generative Adversarial Networks for Diverse Datasets,  and the Unsupervised Clustering of Images](https://arxiv.org/pdf/1808.10356) .[J] arXiv preprint arXiv:1808.10356.

- Santiago Pascual, Antonio Bonafonte, Joan Serrà, Jose A. Gonzalez .[Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks](https://arxiv.org/pdf/1808.10687) .[J] arXiv preprint arXiv:1808.10687.

- Ming Ding, Jie Tang, Jie Zhang .[Semi-supervised Learning on Graphs with Generative Adversarial Nets](https://arxiv.org/pdf/1809.00130) .[J] arXiv preprint arXiv:1809.00130.

- Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang .[ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks](https://arxiv.org/pdf/1809.00219) .[J] arXiv preprint arXiv:1809.00219.

- Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin .[Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks](https://arxiv.org/pdf/1809.00437) .[J] arXiv preprint arXiv:1809.00437.

- Marc Assens, Xavier Giro-i-Nieto, Kevin McGuinness, Noel E. O'Connor .[PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks](https://arxiv.org/pdf/1809.00567) .[J] arXiv preprint arXiv:1809.00567.

- Cides S. Bezerra, Rayson Laroca, Diego R. Lucio, Evair Severo, Lucas F. Oliveira, Alceu S. Britto Jr., David Menotti .[Robust Iris Segmentation Based on Fully Convolutional Networks and  Generative Adversarial Networks](https://arxiv.org/pdf/1809.00769) .[J] arXiv preprint arXiv:1809.00769.

- Jerry Li .[Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing  GANs](https://arxiv.org/pdf/1809.00946) .[J] arXiv preprint arXiv:1809.00946.

- Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas .[Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach](https://arxiv.org/pdf/1809.01348) .[J] arXiv preprint arXiv:1809.01348.

- Christoph Baur, Shadi Albarqouni, Nassir Navab .[Generating Highly Realistic Images of Skin Lesions with GANs](https://arxiv.org/pdf/1809.01410) .[J] arXiv preprint arXiv:1809.01410.

- Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda Viégas, Martin Wattenberg .[GAN Lab: Understanding Complex Deep Generative Models using Interactive  Visual Experimentation](https://arxiv.org/pdf/1809.01587) .[J] arXiv preprint arXiv:1809.01587.

- Koichi Hamada, Kentaro Tachibana, Tianqi Li, Hiroto Honda, Yusuke Uchida .[Full-body High-resolution Anime Generation with Progressive  Structure-conditional Generative Adversarial Networks](https://arxiv.org/pdf/1809.01890) .[J] arXiv preprint arXiv:1809.01890.

- Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu .[Memory Replay GANs: learning to generate images from new categories  without forgetting](https://arxiv.org/pdf/1809.02058) .[J] arXiv preprint arXiv:1809.02058.

- Lionel Blondé, Alexandros Kalousis .[Sample-Efficient Imitation Learning via Generative Adversarial Nets](https://arxiv.org/pdf/1809.02064) .[J] arXiv preprint arXiv:1809.02064.

- Zilong Lin, Yong Shi, Zhi Xue .[IDSGAN: Generative Adversarial Networks for Attack Generation against  Intrusion Detection](https://arxiv.org/pdf/1809.02077) .[J] arXiv preprint arXiv:1809.02077.

- Alexia Jolicoeur-Martineau .[GANs beyond divergence minimization](https://arxiv.org/pdf/1809.02145) .[J] arXiv preprint arXiv:1809.02145.

- Yucheng Fu, Yang Liu .[BubGAN: Bubble Generative Adversarial Networks for Synthesizing  Realistic Bubbly Flow Images](https://arxiv.org/pdf/1809.02266) .[J] arXiv preprint arXiv:1809.02266.

- Harold Erbin, Sven Krippendorf .[GANs for generating EFT models](https://arxiv.org/pdf/1809.02612) .[J] arXiv preprint arXiv:1809.02612.

- Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George Mohler .[Coupled IGMM-GANs for deep multimodal anomaly detection in human  mobility data](https://arxiv.org/pdf/1809.02728) .[J] arXiv preprint arXiv:1809.02728.

- Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan .[ClusterGAN : Latent Space Clustering in Generative Adversarial Networks](https://arxiv.org/pdf/1809.03627) .[J] arXiv preprint arXiv:1809.03627.

- Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry Prince .[Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN](https://arxiv.org/pdf/1809.04536) .[J] arXiv preprint arXiv:1809.04536.

- Shuang Liu, Kamalika Chaudhuri .[The Inductive Bias of Restricted f-GANs](https://arxiv.org/pdf/1809.04542) .[J] arXiv preprint arXiv:1809.04542.

- Dan Li, Dacheng Chen, Jonathan Goh, See-kiong Ng .[Anomaly Detection with Generative Adversarial Networks for Multivariate  Time Series](https://arxiv.org/pdf/1809.04758) .[J] arXiv preprint arXiv:1809.04758.

- Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee .[Generative adversarial network-based image super-resolution using  perceptual content losses](https://arxiv.org/pdf/1809.04783) .[J] arXiv preprint arXiv:1809.04783.

- Dongao Ma, Ping Tang, Lijun Zhao .[SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote  Sensing Image Scene Classification Baseline in vitro](https://arxiv.org/pdf/1809.04985) .[J] arXiv preprint arXiv:1809.04985.

- Wazeer Zulfikar, Sebastin Santy, Sahith Dambekodi, Tirtharaj Dash .[A study on the use of Boundary Equilibrium GAN for Approximate  Frontalization of Unconstrained Faces to aid in Surveillance](https://arxiv.org/pdf/1809.05611) .[J] arXiv preprint arXiv:1809.05611.

- Yasin Almalioglu, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Andrew Markham, Niki Trigoni .[GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation  with Generative Adversarial Networks](https://arxiv.org/pdf/1809.05786) .[J] arXiv preprint arXiv:1809.05786.

- Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay .[GANs for Medical Image Analysis](https://arxiv.org/pdf/1809.06222) .[J] arXiv preprint arXiv:1809.06222.

- Karim Armanious, Thomas Küstner, Konstantin Nikolaou, Sergios Gatidis, Bin Yang .[Retrospective correction of Rigid and Non-Rigid MR motion artifacts  using GANs](https://arxiv.org/pdf/1809.06276) .[J] arXiv preprint arXiv:1809.06276.

- Yunfan Liu, Qi Li, Zhenan Sun .[Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial  Networks](https://arxiv.org/pdf/1809.06647) .[J] arXiv preprint arXiv:1809.06647.

- Xin Yi, Ekta Walia, Paul Babyn .[Generative Adversarial Network in Medical Imaging: A Review](https://arxiv.org/pdf/1809.07294) .[J] arXiv preprint arXiv:1809.07294.

- Gino Brunner, Yuyi Wang, Roger Wattenhofer, Sumu Zhao .[Symbolic Music Genre Transfer with CycleGAN](https://arxiv.org/pdf/1809.07575) .[J] arXiv preprint arXiv:1809.07575.

- Yantao Lu, Burak Kakillioglu, Senem Velipasalar .[Autonomously and Simultaneously Refining Deep Neural Network Parameters  by a Bi-Generative Adversarial Network Aided Genetic Algorithm](https://arxiv.org/pdf/1809.10244) .[J] arXiv preprint arXiv:1809.10244.

- Zhongping Zhang, Yue Wu, Youzuo Lin, Zheng Zhou .[VelocityGAN: Data-Driven Full-Waveform Inversion Using Conditional  Adversarial Networks](https://arxiv.org/pdf/1809.10262) .[J] arXiv preprint arXiv:1809.10262.

- Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka .[WaveCycleGAN: Synthetic-to-natural speech waveform conversion using  cycle-consistent adversarial networks](https://arxiv.org/pdf/1809.10288) .[J] arXiv preprint arXiv:1809.10288.

- Tahmida Mahmud, Mohammad Billah, Amit K. Roy-Chowdhury .[Multi-View Frame Reconstruction with Conditional GAN](https://arxiv.org/pdf/1809.10352) .[J] arXiv preprint arXiv:1809.10352.

- Chae Young Lee, Anoop Toffy, Gue Jun Jung, Woo-Jin Han .[Conditional WaveGAN](https://arxiv.org/pdf/1809.10636) .[J] arXiv preprint arXiv:1809.10636.

- Yezheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, Xiangnan He .[Generative Adversarial Active Learning for Unsupervised Outlier  Detection](https://arxiv.org/pdf/1809.10816) .[J] arXiv preprint arXiv:1809.10816.

- Peifeng Wang, Shuangyin Li, Rong pan .[Incorporating GAN for Negative Sampling in Knowledge Representation  Learning](https://arxiv.org/pdf/1809.11017) .[J] arXiv preprint arXiv:1809.11017.

- 【BigGAN】Andrew Brock, Jeff Donahue, Karen Simonyan .[Large Scale GAN Training for High Fidelity Natural Image Synthesis](https://arxiv.org/pdf/1809.11096) .[J] arXiv preprint arXiv:1809.11096.
[code;[/biggan_generation_with_tf_hub.ipynb](https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb#scrollTo=Cd1dhL4Ykbm7)]

- Marcello De Bernardi, MHR Khouzani, Pasquale Malacaria .[Pseudo-Random Number Generation using Generative Adversarial Networks](https://arxiv.org/pdf/1810.00378) .[J] arXiv preprint arXiv:1810.00378.

- Talha Iqbal, Hazrat Ali .[Generative Adversarial Network for Medical Images (MI-GAN)](https://arxiv.org/pdf/1810.00551) .[J] arXiv preprint arXiv:1810.00551.

- Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine .[Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow](https://arxiv.org/pdf/1810.00821) .[J] arXiv preprint arXiv:1810.00821.

- Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana .[Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation](https://arxiv.org/pdf/1810.01108) .[J] arXiv preprint arXiv:1810.01108.

- Tao Li, Xudong Liu, Shihan Su .[Semi-supervised Text Regression with Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1810.01165) .[J] arXiv preprint arXiv:1810.01165.

- Sandra Aigner, Marco Körner .[FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing Autoencoder GANs](https://arxiv.org/pdf/1810.01325) .[J] arXiv preprint arXiv:1810.01325.

- Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly .[On Self Modulation for Generative Adversarial Networks](https://arxiv.org/pdf/1810.01365) .[J] arXiv preprint arXiv:1810.01365.

- Chao Gao, Jiyi Liu, Yuan Yao, Weizhi Zhu .[Robust Estimation and Generative Adversarial Nets](https://arxiv.org/pdf/1810.02030) .[J] arXiv preprint arXiv:1810.02030.

- Dae Hyun Kim, Taeyoung Kong, Seungbin Jeong .[Finding Solutions to Generative Adversarial Privacy](https://arxiv.org/pdf/1810.02069) .[J] arXiv preprint arXiv:1810.02069.

- Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool .[Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs](https://arxiv.org/pdf/1810.02419) .[J] arXiv preprint arXiv:1810.02419.

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- Xuan Gu, Hans Knutsson, Anders Eklund .[Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks](https://arxiv.org/pdf/1810.02683) .[J] arXiv preprint arXiv:1810.02683.

- Amanpreet Singh, Sharan Agrawal .[CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas](https://arxiv.org/pdf/1810.02833) .[J] arXiv preprint arXiv:1810.02833.

- Yau-Shian Wang, Hung-Yi Lee .[Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks](https://arxiv.org/pdf/1810.02851) .[J] arXiv preprint arXiv:1810.02851.

- Kuan-Hui Lee, German Ros, Jie Li, Adrien Gaidon .[SPIGAN: Privileged Adversarial Learning from Simulation](https://arxiv.org/pdf/1810.03756) .[J] arXiv preprint arXiv:1810.03756.

- Nicoló Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana .[A Generative Adversarial Model for Right Ventricle Segmentation](https://arxiv.org/pdf/1810.03969) .[J] arXiv preprint arXiv:1810.03969.

- Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi .[Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs](https://arxiv.org/pdf/1810.04147) .[J] arXiv preprint arXiv:1810.04147.

- Hao-Wen Dong, Yi-Hsuan Yang .[Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation](https://arxiv.org/pdf/1810.04714) .[J] arXiv preprint arXiv:1810.04714.

- Aibek Alanov, Max Kochurov, Daniil Yashkov, Dmitry Vetrov .[Pairwise Augmented GANs with Adversarial Reconstruction Loss](https://arxiv.org/pdf/1810.04920) .[J] arXiv preprint arXiv:1810.04920.

- Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas Li, Ge Li .[SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning](https://arxiv.org/pdf/1810.04991) .[J] arXiv preprint arXiv:1810.04991.

- Yotam Intrator, Gilad Katz, Asaf Shabtai .[MDGAN: Boosting Anomaly Detection Using \\Multi-Discriminator Generative Adversarial Networks](https://arxiv.org/pdf/1810.05221) .[J] arXiv preprint arXiv:1810.05221.

- Xiaodong Kuang, Xiubao Sui, Chengwei Liu, Yuan Liu, Qian Chen, Guohua Gu .[Thermal Infrared Colorization via Conditional Generative Adversarial Network](https://arxiv.org/pdf/1810.05399) .[J] arXiv preprint arXiv:1810.05399.

- Andrej Junginger, Markus Hanselmann, Thilo Strauss, Sebastian Boblest, Jens Buchner, Holger Ulmer .[Unpaired High-Resolution and Scalable Style Transfer Using Generative Adversarial Networks](https://arxiv.org/pdf/1810.05724) .[J] arXiv preprint arXiv:1810.05724.

- Saifuddin Hitawala, Yao Li, Xian Wang, Dongyang Yang .[Image Super-Resolution Using VDSR-ResNeXt and SRCGAN](https://arxiv.org/pdf/1810.05731) .[J] arXiv preprint arXiv:1810.05731.

- Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabas Poczos, Ruslan Salakhutdinov .[Point Cloud GAN](https://arxiv.org/pdf/1810.05795) .[J] arXiv preprint arXiv:1810.05795.

- David Abramian, Anders Eklund .[Refacing: reconstructing anonymized facial features using GANs](https://arxiv.org/pdf/1810.06455) .[J] arXiv preprint arXiv:1810.06455.

- Giovanni Benato, Alexey Drobizhev, Surjeet Rajendran, Harikrishnan Ramani .[The GAmmas from Nuclear Decays Hiding from Investigators (GANDHI) Experiment](https://arxiv.org/pdf/1810.06467) .[J] arXiv preprint arXiv:1810.06467.

- Markus Ring, Daniel Schlör, Dieter Landes, Andreas Hotho .[Flow-based Network Traffic Generation using Generative Adversarial Networks](https://arxiv.org/pdf/1810.07795) .[J] arXiv preprint arXiv:1810.07795.

- Wei Tang, Teng Li, Fudong Nian, Meng Wang .[MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation](https://arxiv.org/pdf/1810.08534) .[J] arXiv preprint arXiv:1810.08534.

- Avisek Lahiri, Arnav Jain, Divyasri Nadendla, Prabir Kumar Biswas .[Improved Techniques for GAN based Facial Inpainting](https://arxiv.org/pdf/1810.08774) .[J] arXiv preprint arXiv:1810.08774.

- Bharath Raj N., Venkateswaran N .[Single Image Haze Removal using a Generative Adversarial Network](https://arxiv.org/pdf/1810.09479) .[J] arXiv preprint arXiv:1810.09479.

- David M. Reiman, Brett E. Göhre .[Deblending galaxy superpositions with branched generative adversarial networks](https://arxiv.org/pdf/1810.10098) .[J] arXiv preprint arXiv:1810.10098.

- Mehdi Ahmadi, Timothy Nest, Mostafa Abdelnaim, Thanh-Dung Le .[Reproducing AmbientGAN: Generative models from lossy measurements](https://arxiv.org/pdf/1810.10108) .[J] arXiv preprint arXiv:1810.10108.

- Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Išgum .[Generative adversarial networks and adversarial methods in biomedical image analysis](https://arxiv.org/pdf/1810.10352) .[J] arXiv preprint arXiv:1810.10352.

- Ajkel Mino, Gerasimos Spanakis .[LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color](https://arxiv.org/pdf/1810.10395) .[J] arXiv preprint arXiv:1810.10395.

- Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger Gunn, Alexander Hammers, David Alexander Dickie, Maria Valdés Hernández, Joanna Wardlaw, Daniel Rueckert .[GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks](https://arxiv.org/pdf/1810.10863) .[J] arXiv preprint arXiv:1810.10863.

- Jianlin Su .[Training Generative Adversarial Networks Via Turing Test](https://arxiv.org/pdf/1810.10948) .[J] arXiv preprint arXiv:1810.10948.

- Leyuan Sheng, Evgeniy N. Pavlovskiy .[Reducing over-smoothness in speech synthesis using Generative Adversarial Networks](https://arxiv.org/pdf/1810.10989) .[J] arXiv preprint arXiv:1810.10989.

- Asma Nouira (ICMPE), Jean-Claude Crivello (ICMPE), Nataliya Sokolovska .[CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks](https://arxiv.org/pdf/1810.11203) .[J] arXiv preprint arXiv:1810.11203.

- Yilei Shi, Qingyu Li, Xiao Xiang Zhu .[Building Footprint Generation Using Improved Generative Adversarial Networks](https://arxiv.org/pdf/1810.11224) .[J] arXiv preprint arXiv:1810.11224.

- Karren D. Yang, Caroline Uhler .[Scalable Unbalanced Optimal Transport using Generative Adversarial Networks](https://arxiv.org/pdf/1810.11447) .[J] arXiv preprint arXiv:1810.11447.

- Ting Chen, Xiaohua Zhai, Neil Houlsby .[Self-Supervised GAN to Counter Forgetting](https://arxiv.org/pdf/1810.11598) .[J] arXiv preprint arXiv:1810.11598.

- Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin .[Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis](https://arxiv.org/pdf/1810.11610) .[J] arXiv preprint arXiv:1810.11610.

- Farzan Farnia, David Tse .[A Convex Duality Framework for GANs](https://arxiv.org/pdf/1810.11740) .[J] arXiv preprint arXiv:1810.11740.

- Seonghyeon Nam, Yunji Kim, Seon Joo Kim .[Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language](https://arxiv.org/pdf/1810.11919) .[J] arXiv preprint arXiv:1810.11919.

- Arnab Kumar Mondal, Jose Dolz, Christian Desrosiers .[Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning](https://arxiv.org/pdf/1810.12241) .[J] arXiv preprint arXiv:1810.12241.

- Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku .[Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks](https://arxiv.org/pdf/1810.12598) .[J] arXiv preprint arXiv:1810.12598.

- Li-Wei Chen, Hung-Yi Lee, Yu Tsao .[Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech](https://arxiv.org/pdf/1810.12656) .[J] arXiv preprint arXiv:1810.12656.

- Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant .[Evaluating Text GANs as Language Models](https://arxiv.org/pdf/1810.12686) .[J] arXiv preprint arXiv:1810.12686.

- Alexander Y. Sun .[Discovering state-parameter mappings in subsurface models using generative adversarial networks](https://arxiv.org/pdf/1810.12856) .[J] arXiv preprint arXiv:1810.12856.

- Xiao Liang, Liyuan Chen, Dan Nguyen, Zhiguo Zhou, Xuejun Gu, Ming Yang, Jing Wang, Steve Jiang .[Generating Synthesized Computed Tomography (CT) from Cone-Beam Computed Tomography (CBCT) using CycleGAN for Adaptive Radiation Therapy](https://arxiv.org/pdf/1810.13350) .[J] arXiv preprint arXiv:1810.13350.

- Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer .[Mixture Density Generative Adversarial Networks](https://arxiv.org/pdf/1811.00152) .[J] arXiv preprint arXiv:1811.00152.

- Shuangting Liu, Jiaqi Zhang, Yuxin Chen, Yifan Liu, Zengchang Qin, Tao Wan .[Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks](https://arxiv.org/pdf/1811.00174) .[J] arXiv preprint arXiv:1811.00174.

- Kaidi Cao, Jing Liao, Lu Yuan .[CariGANs: Unpaired Photo-to-Caricature Translation](https://arxiv.org/pdf/1811.00222) .[J] arXiv preprint arXiv:1811.00222.

- Cho Ying Wu, Ulrich Neumann .[Efficient Multi-Domain Dictionary Learning with GANs](https://arxiv.org/pdf/1811.00274) .[J] arXiv preprint arXiv:1811.00274.

- Xiaotong Luo, Rong Chen, Yuan Xie, Yanyun Qu, Cuihua Li .[Bi-GANs-ST for Perceptual Image Super-resolution](https://arxiv.org/pdf/1811.00367) .[J] arXiv preprint arXiv:1811.00367.

- Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo .[CariGAN: Caricature Generation through Weakly Paired Adversarial Learning](https://arxiv.org/pdf/1811.00445) .[J] arXiv preprint arXiv:1811.00445.

- Amanda Rios, Laurent Itti .[Closed-Loop GAN for continual Learning](https://arxiv.org/pdf/1811.01146) .[J] arXiv preprint arXiv:1811.01146.

- Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung .[Improving GAN with neighbors embedding and gradient matching](https://arxiv.org/pdf/1811.01333) .[J] arXiv preprint arXiv:1811.01333.

- Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung .[Unsupervised RGBD Video Object Segmentation Using GANs](https://arxiv.org/pdf/1811.01526) .[J] arXiv preprint arXiv:1811.01526.

- Ya-Ping Hsieh, Chen Liu, Volkan Cevher .[Finding Mixed Nash Equilibria of Generative Adversarial Networks](https://arxiv.org/pdf/1811.02002) .[J] arXiv preprint arXiv:1811.02002.

- Liu Yang, Dongkun Zhang, George Em Karniadakis .[Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations](https://arxiv.org/pdf/1811.02033) .[J] arXiv preprint arXiv:1811.02033.

- Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo .[Student's t-Generative Adversarial Networks](https://arxiv.org/pdf/1811.02132) .[J] arXiv preprint arXiv:1811.02132.

- Ching-Ting Chang, Shun-Po Chuang, Hung-Yi Lee .[Code-switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation](https://arxiv.org/pdf/1811.02356) .[J] arXiv preprint arXiv:1811.02356.

- Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin .[Language GANs Falling Short](https://arxiv.org/pdf/1811.02549) .[J] arXiv preprint arXiv:1811.02549.

- Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis, Yannis Stylianou .[Training Generative Adversarial Networks with Weights](https://arxiv.org/pdf/1811.02598) .[J] arXiv preprint arXiv:1811.02598.

- Aman Rana, Gregory Yauney, Alarice Lowe, Pratik Shah .[Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks](https://arxiv.org/pdf/1811.02642) .[J] arXiv preprint arXiv:1811.02642.

- Rui Zhang, Sheng Tang, Yu Li, Junbo Guo, Yongdong Zhang, Jintao Li, Shuicheng Yan .[Style Separation and Synthesis via Generative Adversarial Networks](https://arxiv.org/pdf/1811.02740) .[J] arXiv preprint arXiv:1811.02740.

- Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker .[View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions](https://arxiv.org/pdf/1811.02744) .[J] arXiv preprint arXiv:1811.02744.

- Ilya Kamenshchikov, Matthias Krauledat .[Effects of Dataset properties on the training of GANs](https://arxiv.org/pdf/1811.02850) .[J] arXiv preprint arXiv:1811.02850.

- Marija Jegorova, Stéphane Doncieux, Timothy Hospedales .[Generative Adversarial Policy Networks for Behavioural Repertoire](https://arxiv.org/pdf/1811.02945) .[J] arXiv preprint arXiv:1811.02945.

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- Enrique Sanchez, Michel Valstar .[Triple consistency loss for pairing distributions in GAN-based face synthesis](https://arxiv.org/pdf/1811.03492) .[J] arXiv preprint arXiv:1811.03492.

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- Wenqi Liang, Guangcong Wang, Jianhuang Lai, Junyong Zhu .[M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification](https://arxiv.org/pdf/1811.03768) .[J] arXiv preprint arXiv:1811.03768.

- Oleksii Sidorov .[Changing the Image Memorability: From Basic Photo Editing to GANs](https://arxiv.org/pdf/1811.03825) .[J] arXiv preprint arXiv:1811.03825.

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- Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu .[Product Title Refinement via Multi-Modal Generative Adversarial Learning](https://arxiv.org/pdf/1811.04498) .[J] arXiv preprint arXiv:1811.04498.

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- Xiaodan Hu, Audrey G. Chung, Paul Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong .[ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks](https://arxiv.org/pdf/1811.05817) .[J] arXiv preprint arXiv:1811.05817.

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- Donghui Sun, Qing Zhang, Jun Yang .[Pyramid Embedded Generative Adversarial Network for Automated Font Generation](https://arxiv.org/pdf/1811.08106) .[J] arXiv preprint arXiv:1811.08106.

- Ning Yu, Larry Davis, Mario Fritz .[Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images](https://arxiv.org/pdf/1811.08180) .[J] arXiv preprint arXiv:1811.08180.

- S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon .[Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1811.08230) .[J] arXiv preprint arXiv:1811.08230.

- Giorgia Ramponi, Pavlos Protopapas, Marco Brambilla, Ryan Janssen .[T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling](https://arxiv.org/pdf/1811.08295) .[J] arXiv preprint arXiv:1811.08295.

- Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer .[MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense](https://arxiv.org/pdf/1811.08484) .[J] arXiv preprint arXiv:1811.08484.

- Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson .[IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network](https://arxiv.org/pdf/1811.09134) .[J] arXiv preprint arXiv:1811.09134.

- Xiandong Meng, Xuan Deng, Shuyuan Zhu, Shuaicheng Liu, Chuan Wang, Chen Chen, Bing Zeng .[MGANet: A Robust Model for Quality Enhancement of Compressed Video](https://arxiv.org/pdf/1811.09150) .[J] arXiv preprint arXiv:1811.09150.

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- David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba .[GAN Dissection: Visualizing and Understanding Generative Adversarial Networks](https://arxiv.org/pdf/1811.10597) .[J] arXiv preprint arXiv:1811.10597.

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- Partha Das, Anil S. Baslamisli, Yang Liu, Sezer Karaoglu, Theo Gevers .[Color Constancy by GANs: An Experimental Survey](https://arxiv.org/pdf/1812.03085) .[J] arXiv preprint arXiv:1812.03085.

- Xiangtian Zheng, Bin Wang, Le Xie .[Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network Approach](https://arxiv.org/pdf/1812.03203) .[J] arXiv preprint arXiv:1812.03203.

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- Dung N. Tran, Trac D. Tran, Lam Nguyen .[Generative Adversarial Networks for Recovering Missing Spectral Information](https://arxiv.org/pdf/1812.04744) .[J] arXiv preprint arXiv:1812.04744.

- Harsh Nilesh Pathak, Xinxin Li, Shervin Minaee, Brooke Cowan .[Efficient Super Resolution For Large-Scale Images Using Attentional GAN](https://arxiv.org/pdf/1812.04821) .[J] arXiv preprint arXiv:1812.04821.

- Shervin Minaee, Amirali Abdolrashidi .[Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN](https://arxiv.org/pdf/1812.04822) .[J] arXiv preprint arXiv:1812.04822.

- 【StyleGAN&Nvidia】Tero Karras, Samuli Laine, Timo Aila .[A Style-Based Generator Architecture for Generative Adversarial Networks](https://arxiv.org/pdf/1812.04948) .[J] arXiv preprint arXiv:1812.04948.
[code:

|[NVlabs/stylegan](https://github.com/NVlabs/stylegan)|  

|[neuralnotworklab/stylegan](https://github.com/neuralnotworklab/stylegan)|  

|[korjusk/stylega](https://github.com/korjusk/stylegan)|  

]

- He Zhang, Benjamin S. Riggan, Shuowen Hu, Nathaniel J. Short, Vishal M.Patel .[Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks](https://arxiv.org/pdf/1812.05155) .[J] arXiv preprint arXiv:1812.05155.

- Lu Mi, Macheng Shen, Jingzhao Zhang .[A Probe Towards Understanding GAN and VAE Models](https://arxiv.org/pdf/1812.05676) .[J] arXiv preprint arXiv:1812.05676.

- Fangneng Zhan, Hongyuan Zhu, Shijian Lu .[Spatial Fusion GAN for Image Synthesis](https://arxiv.org/pdf/1812.05840) .[J] arXiv preprint arXiv:1812.05840.

- L. Li, A. Vakanski (University of Idaho, USA) .[Generative adversarial networks for generation and classification of physical rehabilitation movement episodes](https://arxiv.org/pdf/1812.06307) .[J] arXiv preprint arXiv:1812.06307.

- Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo .[TET-GAN: Text Effects Transfer via Stylization and Destylization](https://arxiv.org/pdf/1812.06384) .[J] arXiv preprint arXiv:1812.06384.

- Lili Pan, Shen Cheng, Jian Liu, Yazhou Ren, Zenglin Xu .[Latent Dirichlet Allocation in Generative Adversarial Networks](https://arxiv.org/pdf/1812.06571) .[J] arXiv preprint arXiv:1812.06571.

- Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes .[Multi-Level Sequence GAN for Group Activity Recognition](https://arxiv.org/pdf/1812.07124) .[J] arXiv preprint arXiv:1812.07124.

- Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes .[GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds](https://arxiv.org/pdf/1812.07667) .[J] arXiv preprint arXiv:1812.07667.

- Holly Grimm .[Training on Art Composition Attributes to Influence CycleGAN Art Generation](https://arxiv.org/pdf/1812.07710) .[J] arXiv preprint arXiv:1812.07710.

- Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides .[RankGAN: A Maximum Margin Ranking GAN for Generating Faces](https://arxiv.org/pdf/1812.08196) .[J] arXiv preprint arXiv:1812.08196.

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- Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diedrik Jacques .[Gradient-based deterministic inversion of geophysical data with Generative Adversarial Networks: is it feasible?](https://arxiv.org/pdf/1812.09140) .[J] arXiv preprint arXiv:1812.09140.

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- Wei Wang, Yuan Sun, Saman Halgamuge .[Improving MMD-GAN Training with Repulsive Loss Function](https://arxiv.org/pdf/1812.09916) .[J] arXiv preprint arXiv:1812.09916.

- Bappaditya Mandal, N. B. Puhan, Avijit Verma .[Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data](https://arxiv.org/pdf/1812.10179) .[J] arXiv preprint arXiv:1812.10179.

- Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li .[Protecting Sensitive Attributes via Generative Adversarial Networks](https://arxiv.org/pdf/1812.10193) .[J] arXiv preprint arXiv:1812.10193.

- Shervin Minaee, Amirali Abdolrashidi .[Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN](https://arxiv.org/pdf/1812.10482) .[J] arXiv preprint arXiv:1812.10482.

- Shayne O'Brien, Matt Groh, Abhimanyu Dubey .[Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions](https://arxiv.org/pdf/1812.10782) .[J] arXiv preprint arXiv:1812.10782.

- 【InstaGAN】Sangwoo Mo, Minsu Cho, Jinwoo Shin .[InstaGAN: Instance-aware Image-to-Image Translation](https://arxiv.org/pdf/1812.10889) .[J] arXiv preprint arXiv:1812.10889.
[code:[sangwoomo/instagan](https://github.com/sangwoomo/instagan)]

- Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao .[On Computation and Generalization of GANs with Spectrum Control](https://arxiv.org/pdf/1812.10912) .[J] arXiv preprint arXiv:1812.10912.

- Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked .[TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set](https://arxiv.org/pdf/1812.11006) .[J] arXiv preprint arXiv:1812.11006.

- Irina Sanchez, Veronica Vilaplana .[Brain MRI super-resolution using 3D generative adversarial networks](https://arxiv.org/pdf/1812.11440) .[J] arXiv preprint arXiv:1812.11440.

- Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi .[Do GANs leave artificial fingerprints?](https://arxiv.org/pdf/1812.11842) .[J] arXiv preprint arXiv:1812.11842.

---

### 2019

- Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi .[EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning](https://arxiv.org/pdf/1901.00212) .[J] arXiv preprint arXiv:1901.00212.

- Jonathan Romero, Alan Aspuru-Guzik .[Variational quantum generators: Generative adversarial quantum machine learning for continuous distributions](https://arxiv.org/pdf/1901.00848) .[J] arXiv preprint arXiv:1901.00848.

- Quan Yuan, Junxia Li, Lingwei Zhang, Zhefu Wu, Guangyu Liu .[Blind Motion Deblurring with Cycle Generative Adversarial Networks](https://arxiv.org/pdf/1901.01641) .[J] arXiv preprint arXiv:1901.01641.

- Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng .[Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks](https://arxiv.org/pdf/1901.01649) .[J] arXiv preprint arXiv:1901.01649.

- Adriano Koshiyama, Nick Firoozye, Philip Treleaven .[Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination](https://arxiv.org/pdf/1901.01751) .[J] arXiv preprint arXiv:1901.01751.

- Lorenzo Frigerio, Anderson Santana de Oliveira, Laurent Gomez, Patrick Duverger .[Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data](https://arxiv.org/pdf/1901.02477) .[J] arXiv preprint arXiv:1901.02477.

- Stephanie Ger, Diego Klabjan .[Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences](https://arxiv.org/pdf/1901.02514) .[J] arXiv preprint arXiv:1901.02514.

- Constantinos Papayiannis, Christine Evers, Patrick A. Naylor .[Data Augmentation of Room Classifiers using Generative Adversarial Networks](https://arxiv.org/pdf/1901.03257) .[J] arXiv preprint arXiv:1901.03257.

- Jin Zhu, Guang Yang, Pietro Lio .[How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach](https://arxiv.org/pdf/1901.03419) .[J] arXiv preprint arXiv:1901.03419.

- Jiaxing Tan, Longlong Jing, Yumei Huo, Yingli Tian, Oguz Akin .[LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network](https://arxiv.org/pdf/1901.03473) .[J] arXiv preprint arXiv:1901.03473.

- Kishan Babu Kancharagunta, Shiv Ram Dubey .[CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation](https://arxiv.org/pdf/1901.03554) .[J] arXiv preprint arXiv:1901.03554.

- Yisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval Elovici .[CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning](https://arxiv.org/pdf/1901.03597) .[J] arXiv preprint arXiv:1901.03597.

- Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, Kalyan Veeramachaneni .[SteganoGAN: High Capacity Image Steganography with GANs](https://arxiv.org/pdf/1901.03892) .[J] arXiv preprint arXiv:1901.03892.

- Jingwei Gan, Pai Liu, Rajan K. Chakrabarty .[Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation](https://arxiv.org/pdf/1901.03960) .[J] arXiv preprint arXiv:1901.03960.

- Zhaoyang Xu, Carlos Fernández Moro, Béla Bozóky, Qianni Zhang .[GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis](https://arxiv.org/pdf/1901.04059) .[J] arXiv preprint arXiv:1901.04059.

- Omry Sendik, Dani Lischinski, Daniel CohenOr .[XNet: GAN Latent Space Constraints](https://arxiv.org/pdf/1901.04530) .[J] arXiv preprint arXiv:1901.04530.

- Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe .[Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation](https://arxiv.org/pdf/1901.04604) .[J] arXiv preprint arXiv:1901.04604.

- Saber Malekzadeh, Maryam Samami, Shahla RezazadehAzar, Maryam Rayegan .[Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN](https://arxiv.org/pdf/1901.04696) .[J] arXiv preprint arXiv:1901.04696.

- Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng .[MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks](https://arxiv.org/pdf/1901.04997) .[J] arXiv preprint arXiv:1901.04997.

- Xilei Cao, Gurupraanesh Raman, Gururaghav Raman, Jimmy Chih-Hsien Peng .[Generative Adversarial Networks for Real-time Stability of Inverter-based Systems](https://arxiv.org/pdf/1901.05114) .[J] arXiv preprint arXiv:1901.05114.

- Bodo Kaiser, Shadi Albarqouni .[MRI to CT Translation with GANs](https://arxiv.org/pdf/1901.05259) .[J] arXiv preprint arXiv:1901.05259.

- Bobak Hashemi, Nick Amin, Kaustuv Datta, Dominick Olivito, Maurizio Pierini .[LHC analysis-specific datasets with Generative Adversarial Networks](https://arxiv.org/pdf/1901.05282) .[J] arXiv preprint arXiv:1901.05282.

- Hugo Oliveira, Edemir Ferreira, Jefersson A. dos Santos .[Conditional Domain Adaptation GANs for Biomedical Image Segmentation](https://arxiv.org/pdf/1901.05553) .[J] arXiv preprint arXiv:1901.05553.

- S. Kida, S. Kaji, K. Nawa, T. Imae, T. Nakamoto, S. Ozaki, T. Ohta, Y. Nozawa, K. Nakagawa .[Cone-beam CT to Planning CT synthesis using generative adversarial networks](https://arxiv.org/pdf/1901.05773) .[J] arXiv preprint arXiv:1901.05773.

- Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang .[Generative Adversarial Classifier for Handwriting Characters Super-Resolution](https://arxiv.org/pdf/1901.06199) .[J] arXiv preprint arXiv:1901.06199.

- Oleksandr Bailo, DongShik Ham, Young Min Shin .[Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1901.06219) .[J] arXiv preprint arXiv:1901.06219.

- Gil Shamai, Ron Slossberg, Ron Kimmel .[Synthesizing facial photometries and corresponding geometries using generative adversarial networks](https://arxiv.org/pdf/1901.06551) .[J] arXiv preprint arXiv:1901.06551.

- Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang .[CommunityGAN: Community Detection with Generative Adversarial Nets](https://arxiv.org/pdf/1901.06631) .[J] arXiv preprint arXiv:1901.06631.

- Uddeshya Upadhyay, Arjun Jain .[Removal of Batch Effects using Generative Adversarial Networks](https://arxiv.org/pdf/1901.06654) .[J] arXiv preprint arXiv:1901.06654.

- Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu .[LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators](https://arxiv.org/pdf/1901.06767) .[J] arXiv preprint arXiv:1901.06767.

- Kentaro Fukamizu, Masaaki Kondo, Ryuichi Sakamoto .[Generation High resolution 3D model from natural language by Generative Adversarial Network](https://arxiv.org/pdf/1901.07165) .[J] arXiv preprint arXiv:1901.07165.

- Yunfeng Lin, Jiangbei Li, Hanjing Wang .[DCNN-GAN: Reconstructing Realistic Image from fMRI](https://arxiv.org/pdf/1901.07368) .[J] arXiv preprint arXiv:1901.07368.

- Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain .[Learning Continuous Face Age Progression: A Pyramid of GANs](https://arxiv.org/pdf/1901.07528) .[J] arXiv preprint arXiv:1901.07528.

- Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic .[Composition and decomposition of GANs](https://arxiv.org/pdf/1901.07667) .[J] arXiv preprint arXiv:1901.07667.

- M.-H. Herman Shen, Liang Chen .[A New CGAN Technique for Constrained Topology Design Optimization](https://arxiv.org/pdf/1901.07675) .[J] arXiv preprint arXiv:1901.07675.

- Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen .[Toward Joint Image Generation and Compression using Generative Adversarial Networks](https://arxiv.org/pdf/1901.07838) .[J] arXiv preprint arXiv:1901.07838.

- Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara .[Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face](https://arxiv.org/pdf/1901.08101) .[J] arXiv preprint arXiv:1901.08101.

- Matthew Amodio, Smita Krishnaswamy .[Generating and Aligning from Data Geometries with Generative Adversarial Networks](https://arxiv.org/pdf/1901.08177) .[J] arXiv preprint arXiv:1901.08177.

- Peiqi Wang, Dongsheng Wang, Yu Ji, Xinfeng Xie, Haoxuan Song, XuXin Liu, Yongqiang Lyu, Yuan Xie .[QGAN: Quantized Generative Adversarial Networks](https://arxiv.org/pdf/1901.08263) .[J] arXiv preprint arXiv:1901.08263.

- Philipp Seeböck, David Romo-Bucheli, Sebastian Waldstein, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth .[Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation](https://arxiv.org/pdf/1901.08379) .[J] arXiv preprint arXiv:1901.08379.

- Frank Zijlstra, Koen Willemsen, Mateusz C. Florkow, Ralph J.B. Sakkers, Harrie H. Weinans, Bart C.H. van der Wal, Marijn van Stralen, Peter R. Seevinck .[CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network](https://arxiv.org/pdf/1901.08449) .[J] arXiv preprint arXiv:1901.08449.

- Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago Falk, Ioannis Mitliagkas .[Multi-objective training of Generative Adversarial Networks with multiple discriminators](https://arxiv.org/pdf/1901.08680) .[J] arXiv preprint arXiv:1901.08680.

- Samet Akçay, Amir Atapour-Abarghouei, Toby P. Breckon .[Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection](https://arxiv.org/pdf/1901.08954) .[J] arXiv preprint arXiv:1901.08954.

- Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee .[Diversity-Sensitive Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1901.09024) .[J] arXiv preprint arXiv:1901.09024.

- Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li .[Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data](https://arxiv.org/pdf/1901.09113) .[J] arXiv preprint arXiv:1901.09113.

- Kai Lei, Meng Qin, Bo Bai, Gong Zhang, Min Yang .[GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks](https://arxiv.org/pdf/1901.09165) .[J] arXiv preprint arXiv:1901.09165.

- Anubhav Jain, Richa Singh, Mayank Vatsa .[On Detecting GANs and Retouching based Synthetic Alterations](https://arxiv.org/pdf/1901.09237) .[J] arXiv preprint arXiv:1901.09237.

- Stefan Milz, Martin Simon, Kai Fischer, Maximillian Pöpperl .[Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks](https://arxiv.org/pdf/1901.09280) .[J] arXiv preprint arXiv:1901.09280.

- Banghua Zhu, Jiantao Jiao, David Tse .[Deconstructing Generative Adversarial Networks](https://arxiv.org/pdf/1901.09465) .[J] arXiv preprint arXiv:1901.09465.

- Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz .[Out-of-Sample Testing for GANs](https://arxiv.org/pdf/1901.09557) .[J] arXiv preprint arXiv:1901.09557.

- Parisa Babaheidarian, Mark Wallace .[Decode and Transfer: A New Steganalysis Technique via Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1901.09746) .[J] arXiv preprint arXiv:1901.09746.

- Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye .[CollaGAN : Collaborative GAN for Missing Image Data Imputation](https://arxiv.org/pdf/1901.09764) .[J] arXiv preprint arXiv:1901.09764.

- Haifeng Shi, Guanyu Cai, Yuqin Wang, Shaohua Shang, Lianghua He .[Virtual Conditional Generative Adversarial Networks](https://arxiv.org/pdf/1901.09822) .[J] arXiv preprint arXiv:1901.09822.

- David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba .[Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)](https://arxiv.org/pdf/1901.09887) .[J] arXiv preprint arXiv:1901.09887.

- Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong .[TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation](https://arxiv.org/pdf/1901.09953) .[J] arXiv preprint arXiv:1901.09953.

- Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler .[PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images](https://arxiv.org/pdf/1901.10024) .[J] arXiv preprint arXiv:1901.10024.

- Yaman Kumar, Shubham Maheshwari, Dhruva Sahrawat, Praveen Jhanwar, Vipin Chaudhary, Rajiv Ratn Shah, Debanjan Mahata .[Harnessing GANs for Addition of New Classes in VSR](https://arxiv.org/pdf/1901.10139) .[J] arXiv preprint arXiv:1901.10139.

- Pierre Nagorny (SYMME), Thomas Lacombe (SYMME), Hugues Favreliere (SYMME), Maurice Pillet (SYMME), Eric Pairel (SYMME), Ronan Le Goff (IPC), Marlene Wali (IPC), Jerome Loureaux (IPC), Patrice Kiener .[Generative Adversarial Networks for geometric surfaces prediction in injection molding](https://arxiv.org/pdf/1901.10178) .[J] arXiv preprint arXiv:1901.10178.

- Dan Zhang, Anna Khoreva .[PA-GAN: Improving GAN Training by Progressive Augmentation](https://arxiv.org/pdf/1901.10422) .[J] arXiv preprint arXiv:1901.10422.

- Casey Chu, Jose Blanchet, Peter Glynn .[Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning](https://arxiv.org/pdf/1901.10691) .[J] arXiv preprint arXiv:1901.10691.

- Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Yang Wu, Bing Zheng, Ping Lin .[Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation](https://arxiv.org/pdf/1901.10895) .[J] arXiv preprint arXiv:1901.10895.

- Neale Ratzlaff, Li Fuxin .[HyperGAN: A Generative Model for Diverse, Performant Neural Networks](https://arxiv.org/pdf/1901.11058) .[J] arXiv preprint arXiv:1901.11058.

- Vineet Edupuganti, Morteza Mardani, Joseph Cheng, Shreyas Vasanawala, John Pauly .[VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis](https://arxiv.org/pdf/1901.11228) .[J] arXiv preprint arXiv:1901.11228.

- Ho Bae, Dahuin Jung, Sungroh Yoon .[AnomiGAN: Generative adversarial networks for anonymizing private medical data](https://arxiv.org/pdf/1901.11313) .[J] arXiv preprint arXiv:1901.11313.

- Monika Sharma, Abhishek Verma, Lovekesh Vig .[Learning to Clean: A GAN Perspective](https://arxiv.org/pdf/1901.11382) .[J] arXiv preprint arXiv:1901.11382.

- Isabela Albuquerque, João Monteiro, Tiago H. Falk .[Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation](https://arxiv.org/pdf/1901.11384) .[J] arXiv preprint arXiv:1901.11384.

- Angeline Aguinaldo, Ping-Yeh Chiang, Alex Gain, Ameya Patil, Kolten Pearson, Soheil Feizi .[Compressing GANs using Knowledge Distillation](https://arxiv.org/pdf/1902.00159) .[J] arXiv preprint arXiv:1902.00159.

- Andrawes Al Bahou, Christine Tanner, Orcun Goksel .[SCATGAN for Reconstruction of Ultrasound Scatterers Using Generative Adversarial Networks](https://arxiv.org/pdf/1902.00469) .[J] arXiv preprint arXiv:1902.00469.

- Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joe Deasy, Harini Veeraraghavan, Neelam Tyagi .[Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning](https://arxiv.org/pdf/1902.00536) .[J] arXiv preprint arXiv:1902.00536.

- Mehmet Ozgur Turkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu .[A Layer-Based Sequential Framework for Scene Generation with GANs](https://arxiv.org/pdf/1902.00671) .[J] arXiv preprint arXiv:1902.00671.

- Yuejiang Liu, Parth Kothari, Alexandre Alahi .[Collaborative GAN Sampling](https://arxiv.org/pdf/1902.00813) .[J] arXiv preprint arXiv:1902.00813.

- Yuma Kishi, Tsutomu Ikegami, Shin-ichi O'uchi, Ryousei Takano, Wakana Nogami, Tomohiro Kudoh .[Perturbative GAN: GAN with Perturbation Layers](https://arxiv.org/pdf/1902.01514) .[J] arXiv preprint arXiv:1902.01514.

- Süleyman Aslan, Uğur Güdükbay, B. Uğur Töreyin, A. Enis Çetin .[Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video](https://arxiv.org/pdf/1902.01824) .[J] arXiv preprint arXiv:1902.01824.

- Łukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michał Warchoł .[Mol-CycleGAN - a generative model for molecular optimization](https://arxiv.org/pdf/1902.02119) .[J] arXiv preprint arXiv:1902.02119.

- Dwarikanath Mahapatra, Behzad Bozorgtabar .[Progressive Generative Adversarial Networks for Medical Image Super resolution](https://arxiv.org/pdf/1902.02144) .[J] arXiv preprint arXiv:1902.02144.

- Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alex M. Bronstein .[Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level](https://arxiv.org/pdf/1902.02593) .[J] arXiv preprint arXiv:1902.02593.

- Tycho F.A. van der Ouderaa, Daniel E. Worrall .[Reversible GANs for Memory-efficient Image-to-Image Translation](https://arxiv.org/pdf/1902.02729) .[J] arXiv preprint arXiv:1902.02729.

- Maryam Sultana, Soon Ki Jung .[Illumination Invariant Foreground Object Segmentation using ForeGANs](https://arxiv.org/pdf/1902.03120) .[J] arXiv preprint arXiv:1902.03120.

- Alceu Bissoto, Fábio Perez, Eduardo Valle, Sandra Avila .[Skin Lesion Synthesis with Generative Adversarial Networks](https://arxiv.org/pdf/1902.03253) .[J] arXiv preprint arXiv:1902.03253.

- Michal Uricar, Pavel Krizek, David Hurych, Ibrahim Sobh, Senthil Yogamani, Patrick Denny .[Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving](https://arxiv.org/pdf/1902.03442) .[J] arXiv preprint arXiv:1902.03442.

- Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar .[Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions](https://arxiv.org/pdf/1902.03444) .[J] arXiv preprint arXiv:1902.03444.

- Victoria Fernandez Abrevaya, Adnane Boukhayma, Stefanie Wuhrer, Edmond Boyer .[A Generative 3D Facial Model by Adversarial Training](https://arxiv.org/pdf/1902.03619) .[J] arXiv preprint arXiv:1902.03619.

- Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen .[(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs](https://arxiv.org/pdf/1902.03642) .[J] arXiv preprint arXiv:1902.03642.

- Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh .[Improving Generalization and Stability of Generative Adversarial Networks](https://arxiv.org/pdf/1902.03984) .[J] arXiv preprint arXiv:1902.03984.

- Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt .[GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation](https://arxiv.org/pdf/1902.04311) .[J] arXiv preprint arXiv:1902.04311.

- Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Gayaka Shreekant, Ramakrishna Nemani, Andrew Michaelis, Shuang Li, Auroop Ganguly, Supratik Mukhopadhyay .[Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images](https://arxiv.org/pdf/1902.04604) .[J] arXiv preprint arXiv:1902.04604.

- Mohammadreza Soltani, Swayambhoo Jain, Abhinav Sambasivan .[Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing](https://arxiv.org/pdf/1902.04664) .[J] arXiv preprint arXiv:1902.04664.

- Swetava Ganguli, Pedro Garzon, Noa Glaser .[GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images](https://arxiv.org/pdf/1902.05611) .[J] arXiv preprint arXiv:1902.05611.

- Eoin Brophy, Zhengwei Wang, Tomas E. Ward .[Quick and Easy Time Series Generation with Established Image-based GANs](https://arxiv.org/pdf/1902.05624) .[J] arXiv preprint arXiv:1902.05624.

- Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang .[Lipschitz Generative Adversarial Nets](https://arxiv.org/pdf/1902.05687) .[J] arXiv preprint arXiv:1902.05687.

- Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou .[GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction](https://arxiv.org/pdf/1902.05978) .[J] arXiv preprint arXiv:1902.05978.

- Meiyu Li, Michael D. Chan, Xiaobo Zhou, Xiaohua Qian .[DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet](https://arxiv.org/pdf/1902.06085) .[J] arXiv preprint arXiv:1902.06085.

- Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang .[SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction](https://arxiv.org/pdf/1902.06455) .[J] arXiv preprint arXiv:1902.06455.

- Stephen G. Odaibo, M.D., M.S. (Math), M.S. (Comp. Sci.)     .[Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina](https://arxiv.org/pdf/1902.06676) .[J] arXiv preprint arXiv:1902.06676.

- Rahul Gupta .[Data augmentation for low resource sentiment analysis using generative adversarial networks](https://arxiv.org/pdf/1902.06818) .[J] arXiv preprint arXiv:1902.06818.

- Youngjoo Jo, Jongyoul Park .[SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color](https://arxiv.org/pdf/1902.06838) .[J] arXiv preprint arXiv:1902.06838.

- Xueqing Deng, Yi Zhu, Shawn Newsam .[Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery](https://arxiv.org/pdf/1902.06923) .[J] arXiv preprint arXiv:1902.06923.

- Ce Wang, Zhangling Chen, Kun Shang .[Label-Removed Generative Adversarial Networks Incorporating with K-Means](https://arxiv.org/pdf/1902.06938) .[J] arXiv preprint arXiv:1902.06938.

- Amirhossein Taghvaei, Amin Jalali .[2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs](https://arxiv.org/pdf/1902.07197) .[J] arXiv preprint arXiv:1902.07197.

- Yusuke Ujitoko, Yuki Ban .[Vibrotactile Signal Generation from Texture Images or Attributes using Generative Adversarial Network](https://arxiv.org/pdf/1902.07480) .[J] arXiv preprint arXiv:1902.07480.

- Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gursoy, Francesco De Carlo, Ian Foster .[TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks](https://arxiv.org/pdf/1902.07582) .[J] arXiv preprint arXiv:1902.07582.

- Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts .[GANSynth: Adversarial Neural Audio Synthesis](https://arxiv.org/pdf/1902.08710) .[J] arXiv preprint arXiv:1902.08710.

- Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng .[Training GANs with Centripetal Acceleration](https://arxiv.org/pdf/1902.08949) .[J] arXiv preprint arXiv:1902.08949.

- Jaewoong Cho, Changho Suh .[Wasserstein GAN Can Perform PCA](https://arxiv.org/pdf/1902.09073) .[J] arXiv preprint arXiv:1902.09073.

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