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https://github.com/pshams55/GAN-Case-Study

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- Readme: README.md
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README

        # GAN-Case-Study

A list of papers and other on Generative Adversarial Networks.

This site is maintained by Pourya Shamsolmoali.

If you find this work useful for your research, please cite our paper:

```

@article{shamsolmoali2020image,

  title={Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies},

  author={Shamsolmoali, Pourya and Zareapoor, Masoumeh and Granger, Eric and Zhou, Huiyu and Wang, Ruili and Celebi, M Emre and Yang, Jie},

  journal={Information Fusion},

  year={2020}

}

```

**NOTE:** This site will be updated on monthly basis.

## Contents

- [Codes](#code)

- [Datasets](#datasets)

- [Papers](#papers)

  - [Overview](#overview)

  - [Theory & Machine Learning](#theory--machine-learning)

  - [Applied Vision](#applied-vision)

  - [Image Fusion](#image-fusion)

  - [Medical Images](#medical-images)

  - [Applied Other](#applied-other)

  

# Codes

- Cleverhans: A library for benchmarking vulnerability to adversarial examples [[Code]](https://github.com/openai/cleverhans) [[Blog]](http://cleverhans.io/)

- CycleGAN [[Code]](https://github.com/junyanz/CycleGAN/) [[Blog]](https://junyanz.github.io/CycleGAN/)

- Cartoon Face Generation [[Code]](https://github.com/hsiehjackson/Cartoon-Face-Generation)

- DCGAN [[Code]](https://github.com/mitchelljy/DCGAN-Keras)

- Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) [[Blog]](https://medium.com/@devnag/generative-adversarial-networks-gans-in-50-lines-of-code-pytorch-e81b79659e3f) [[Code]](https://github.com/devnag/pytorch-generative-adversarial-networks)

- Generative Models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow [[Code]](https://github.com/wiseodd/generative-models)

- Info-GAN [[Code]](https://github.com/JonathanRaiman/tensorflow-infogan)

- Keras-GAN [[Code]](https://github.com/eriklindernoren/Keras-GAN)

- PyTorch-GAN [[Code]](https://github.com/eriklindernoren/PyTorch-GAN)

- StarGAN [[Code]](https://github.com/yunjey/stargan)

- StarGAN-v2 [[Code]](https://github.com/clovaai/stargan-v2)

- Tensorflow-GAN [[Code]](https://github.com/ckmarkoh/GAN-tensorflow) [[Code]](https://github.com/carpedm20/DCGAN-tensorflow)

- 3D Object Reconstruction [[Code]](https://github.com/Yang7879/3D-RecGAN) [[Code]](https://github.com/autonomousvision/differentiable_volumetric_rendering)

# Datasets

- Animal Faces-HQ dataset (AFHQ) [[Dataset]](https://www.kaggle.com/andrewmvd/animal-faces)

- CartoonSet [[Dataset]](https://google.github.io/cartoonset/)

- Caltech-UCSD Birds-200-2011 [[Dataset]](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html)

- CelebA [[Dataset]](http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html)

- CIFAR-10 and CIFAR-100 [[Dataset]](https://www.cs.toronto.edu/~kriz/cifar.html)

- Cityscapes [[Dataset]](https://www.cityscapes-dataset.com/)

- DSLR [[Dataset]](https://cvl.tuwien.ac.at/research/cvl-databases/pcb-dslr-dataset/)

- FaceScrub [[Dataset]](http://vintage.winklerbros.net/facescrub.html)

- Fashion MNIST [[Dataset]](https://www.kaggle.com/zalando-research/fashionmnist)

- Flickr-Faces-HQ (FFHQ) [[Dataset]](https://www.kaggle.com/greatgamedota/ffhq-face-data-set), [[Dataset]](https://github.com/NVlabs/ffhq-dataset)

- Generative Dog Images [[Dataset]](https://www.kaggle.com/c/generative-dog-images?rvi=1)

- ImageNet [[Dataset]](http://www.image-net.org/)

- MNIST [[Datase]](http://yann.lecun.com/exdb/mnist/)

- Paris StreetView [[Dataset]](https://www.crcv.ucf.edu/projects/GMCP_Geolocalization/), [[Dataset]](https://www.crcv.ucf.edu/projects/GMCP_Geolocalization/)

- SENSIAC [[Dataset]](https://blogs.upm.es/gti-work/2013/05/06/sensiac-dataset-for-automatic-target-recognition-in-infrared-imagery/)

- Toronto Faces [[Dataset]](https://www.kaggle.com/general/50987)

- UT Zappos50K [[Dataset]](http://vision.cs.utexas.edu/projects/finegrained/utzap50k/)

- Van Gogh [[Dataset]](https://www.kaggle.com/gfolego/vangogh)

- YouTubeFace [[Dataset]](https://www.cs.tau.ac.il/~wolf/ytfaces/)

# Papers

## Overview

- A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications [[arXiv]](https://arxiv.org/abs/2001.06937)

- A Review: Generative Adversarial Networks [[paper]](https://ieeexplore.ieee.org/abstract/document/8833686)

- A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications [[arXiv]](https://arxiv.org/abs/2001.06937)

- Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy [[arXiv]](https://arxiv.org/abs/1906.01529)

- Generative Adversarial Network (GAN): a general review on different variants of GAN and applications [[paper]](https://ieeexplore.ieee.org/document/9489160)

- Generative Adversarial Networks: An Overview [[arXiv]](https://arxiv.org/abs/1710.07035)

- Generative Adversarial Network in Medical Imaging: A Review [[arXiv]](https://arxiv.org/abs/1809.07294)

- Stabilizing Generative Adversarial Networks: A Survey [[arXiv]](https://arxiv.org/abs/1910.00927)

## Theory & Machine Learning

- Adversarial Feature Learning [[arXiv]](https://arxiv.org/abs/1605.09782v7)

- A Classification-Based Perspective on GAN Distributions [[arXiv]](https://arxiv.org/abs/1711.00970)

- A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [[arXiv]](https://arxiv.org/abs/1611.03852)

- A General Retraining Framework for Scalable Adversarial Classification [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_2.pdf)

- Activation Maximization Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1703.02000)

- AdaGAN: Boosting Generative Models [[arXiv]](https://arxiv.org/abs/1701.02386)

- Adversarial Autoencoders [[arXiv]](https://arxiv.org/abs/1511.05644)

- Adversarial Discriminative Domain Adaptation [[arXiv]](https://arxiv.org/abs/1702.05464)

- Adversarial Distillation of Bayesian Neural Network Posteriors [[arXiv]](https://arxiv.org/abs/1806.10317)

- Adversarial Generator-Encoder Networks [[arXiv]](https://arxiv.org/pdf/1704.02304.pdf)

- Adversarial Feature Learning [[arXiv]](https://arxiv.org/abs/1605.09782) [[Code]](https://github.com/wiseodd/generative-models)

- Adversarially Learned Inference [[arXiv]](https://arxiv.org/abs/1606.00704) [[Code]](https://github.com/wiseodd/generative-models)

- AE-GAN: adversarial eliminating with GAN [[arXiv]](https://arxiv.org/abs/1707.05474)

- AmbientGAN: Generative models from lossy measurements [[arXiv]](https://openreview.net/forum?id=Hy7fDog0b)

- An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [[arXiv]](https://arxiv.org/abs/1702.02382)

- Annealed Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1705.07505)

- APE-GAN: Adversarial Perturbation Elimination with GAN [[arXiv]](https://arxiv.org/abs/1707.05474)

- Associative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.06953)

- Autoencoding beyond pixels using a learned similarity metric [[arXiv]](https://arxiv.org/abs/1512.09300)

- Automatic Steganographic Distortion Learning Using a Generative Adversarial Network [[paper]](https://ieeexplore.ieee.org/document/8017430)

- AVID: Adversarial Visual Irregularity Detection [[arXiv]](https://arxiv.org/abs/1805.09521)

- BAGAN: Data Augmentation with Balancing GAN [[arXiv]](https://arxiv.org/abs/1803.09655)

- BinGAN: Learning Compact Binary Descriptors with a Regularized GAN [[arXiv]](https://arxiv.org/abs/1806.06778)

- BourGAN: Generative Networks with Metric Embeddings [[arXiv]](https://arxiv.org/abs/1805.07674)

- Bayesian Conditional Generative Adverserial Networks [[arXiv]](https://arxiv.org/abs/1706.05477)

- Bayesian GAN [[arXiv]](https://arxiv.org/abs/1705.09558)

- BEGAN: Boundary Equilibrium Generative Adversarial Networks [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_4.pdf) [[arXiv]](https://arxiv.org/abs/1703.10717) [[Code]](https://github.com/wiseodd/generative-models)

- Binary Generative Adversarial Networks for Image Retrieval [[arXiv]](https://arxiv.org/abs/1708.04150)

- Boundary-Seeking Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1702.08431) [[Code]](https://github.com/wiseodd/generative-models)

- Calibrating Energy-based Generative Adversarial Networks [[arXiv]](https://arxiv.org/pdf/1702.01691.pdf)

- CapsGAN: Using Dynamic Routing for Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1806.03968)

- CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training [[arXiv]](https://arxiv.org/abs/1709.02023)

- Class-Splitting Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.07359)

- Comparison of Maximum Likelihood and GAN-based training of Real NVPs [[arXiv]](https://arxiv.org/abs/1705.05263)

- Conditional CycleGAN for Attribute Guided Face Image Generation [[arXiv]](https://arxiv.org/abs/1705.09966)

- Conditional Infilling GANs for Data Augmentation in Mammogram Classification [[arXiv]](https://arxiv.org/abs/1807.08093)

- Conditional Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1411.1784) [[Code]](https://github.com/wiseodd/generative-models)

- Connecting Generative Adversarial Networks and Actor-Critic Methods [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_1.pdf)

- Continual Learning in Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1705.08395)

- C-RNN-GAN: Continuous recurrent neural networks with adversarial training [[arXiv]](https://arxiv.org/abs/1611.09904)

- CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning [[arXiv]](https://arxiv.org/abs/1710.05106)

- Cooperative Training of Descriptor and Generator Networks [[arXiv]](https://arxiv.org/abs/1609.09408)

- Coupled Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1606.07536) [[Code]](https://github.com/wiseodd/generative-models)

- DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning [[arXiv]](https://arxiv.org/abs/2006.08694)

- Differentiable Augmentation for Data-Efficient GAN Training [[arXiv]](https://arxiv.org/abs/2006.10738)

- Diverse Image Generation via Self-Conditioned GANs [[arXiv]](https://arxiv.org/abs/2006.10728)

- Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN [[arXiv]](https://arxiv.org/abs/1808.01960)

- Dualing GANs [[arXiv]](https://arxiv.org/abs/1706.06216)

- Deep and Hierarchical Implicit Models [[arXiv]](https://arxiv.org/abs/1702.08896)

- Energy-based Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1609.03126) [[Code]](https://github.com/wiseodd/generative-models)

- Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1803.08182)

- Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs [[paper]](https://arxiv.org/pdf/1810.04147.pdf)

- Explaining and Harnessing Adversarial Examples [[arXiv]](https://arxiv.org/abs/1412.6572)

- Hierarchical Implicit Models and Likelihood-Free Variational Inference [[arXiv]](https://arxiv.org/abs/1702.08896)

- Flow-GAN: Bridging implicit and prescribed learning in generative models [[arXiv]](https://arxiv.org/abs/1705.08868)

- f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [[arXiv]](https://arxiv.org/abs/1606.00709) [[Code]](https://github.com/wiseodd/generative-models)

- GAN Memory with No Forgetting [[arXiv]](https://arxiv.org/abs/2006.07543)

- GAN Dissection: Visualizing and understanding generative adversarial networks [[arXiv]](https://openreview.net/pdf?id=Hyg_X2C5FX)

- Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking [[arXiv]](https://arxiv.org/abs/1704.04865)

- Generalization and Equilibrium in Generative Adversarial Nets (GANs) [[arXiv]](https://arxiv.org/abs/1703.00573)

- Generating images with recurrent adversarial networks [[arXiv]](https://arxiv.org/abs/1602.05110)

- Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1406.2661) [[Code]](https://github.com/goodfeli/adversarial) [[Code]](https://github.com/wiseodd/generative-models)

- Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks [[arXiv]](https://arxiv.org/abs/2004.02182)

- Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation [[arXiv]](https://arxiv.org/abs/1808.05599)

- Implicit competitive regularization in GANs [[paper]](https://arxiv.org/pdf/1910.05852.pdf)

- Generalization Properties of Optimal Transport GANs with Latent Distribution Learning [[arXiv]](https://arxiv.org/abs/2007.14641)

- Generating Adversarial Examples with Adversarial Networks [[arXiv]](https://arxiv.org/abs/1801.02610)

- Generative Adversarial Networks as Variational Training of Energy Based Models [[arXiv]](https://arxiv.org/abs/1611.01799)

- Generative Adversarial Networks with Inverse Transformation Unit [[arXiv]](https://arxiv.org/abs/1709.09354)

- Generative Adversarial Parallelization [[arXiv]](https://arxiv.org/abs/1612.04021) [[Code]](https://github.com/wiseodd/generative-models)

- Generative Adversarial Residual Pairwise Networks for One Shot Learning [[arXiv]](https://arxiv.org/abs/1703.08033)

- Generative Adversarial Structured Networks [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_14.pdf)

- Generative Cooperative Net for Image Generation and Data Augmentation [[arXiv]](https://arxiv.org/abs/1705.02887)

- Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization [[arXiv]](https://arxiv.org/abs/1809.05972)

- Generative Moment Matching Networks [[arXiv]](https://arxiv.org/abs/1502.02761) [[Code]](https://github.com/yujiali/gmmn)

- Generative Semantic Manipulation with Contrasting GAN [[arXiv]](https://arxiv.org/abs/1708.00315)

- Geometric GAN [[arXiv]](https://arxiv.org/abs/1705.02894)

- Good Semi-supervised Learning that Requires a Bad GAN [[arXiv]](https://arxiv.org/abs/1705.09783)

- Gradient descent GAN optimization is locally stable [[arXiv]](https://arxiv.org/abs/1706.04156)

- How to Train Your DRAGAN [[arXiv]](https://arxiv.org/abs/1705.07215)

- Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1708.02237)

- Improved Semi-supervised Learning with GANs using Manifold Invariances [[arXiv]](https://arxiv.org/abs/1705.08850)

- Improved Techniques for Training GANs [[arXiv]](https://arxiv.org/abs/1606.03498) [[Code]](https://github.com/openai/improved-gan)

- Improved Training of Wasserstein GANs [[arXiv]](https://arxiv.org/abs/1704.00028) [[Code]](https://github.com/wiseodd/generative-models)

- InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1606.03657) [[Code]](https://github.com/wiseodd/generative-models)

- Inverting The Generator Of A Generative Adversarial Network [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_9.pdf)

- Instance Selection for GANs [[arXiv]](https://arxiv.org/abs/2007.15255)

- It Takes (Only) Two: Adversarial Generator-Encoder Networks [[arXiv]](https://arxiv.org/abs/1704.02304)

- KGAN: How to Break The Minimax Game in GAN [[arXiv]](https://arxiv.org/abs/1711.01744)

- Learn distributed GAN with Temporary Discriminators [[arXiv]](https://arxiv.org/abs/2007.09221)

- Learning in Implicit Generative Models [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_10.pdf)

- Learning Loss for Knowledge Distillation with Conditional Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.00513)

- Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1703.05192) [[Code]](https://github.com/wiseodd/generative-models)

- Latent Space Optimal Transport for Generative Models [[arXiv]](https://arxiv.org/abs/1809.05964)

- Learning Texture Manifolds with the Periodic Spatial GAN [[arXiv]](https://arxiv.org/abs/1705.06566)

- Least Squares Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.04076) [[Code]](https://github.com/wiseodd/generative-models)

- Linking Generative Adversarial Learning and Binary Classification [[arXiv]](https://arxiv.org/abs/1709.01509)

- Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities [[arXiv]](https://arxiv.org/abs/1701.06264)

- LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation [[arXiv]](https://arxiv.org/abs/1703.01560)

- MAGAN: Margin Adaptation for Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1704.03817) [[Code]](https://github.com/wiseodd/generative-models)

- Maximum-Likelihood Augmented Discrete Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1702.07983)

- McGan: Mean and Covariance Feature Matching GAN [[arXiv]](https://arxiv.org/abs/1702.08398)

- Message Passing Multi-Agent GANs [[arXiv]](https://arxiv.org/abs/1612.01294)

- MMD GAN: Towards Deeper Understanding of Moment Matching Network [[arXiv]](https://arxiv.org/abs/1705.08584)

- Mode Regularized Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1612.02136) [[Code]](https://github.com/wiseodd/generative-models)

- Multi-Agent Diverse Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1704.02906)

- Multi-Generator Gernerative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1708.02556)

- Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models [[arXiv]](https://arxiv.org/abs/1705.10843)

- Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search [[arXiv]](https://arxiv.org/abs/2007.09180)

- On Convergence and Stability of GANs [[arXiv]](https://arxiv.org/abs/1705.07215)

- On the Convergence and Robustness of Training GANs with Regularized Optimal Transports [[arXiv]](https://arxiv.org/abs/1802.08249)

- On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1704.03971)

- On the Quantitative Analysis of Decoder-Based Generative Models [[arXiv]](https://arxiv.org/abs/1611.04273)

- Optimal Transport using GANs for Lineage Tracing  [[arXiv]](https://arxiv.org/abs/2007.12098)

- Optimizing the Latent Space of Generative Networks [[arXiv]](https://arxiv.org/abs/1707.05776)

- Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis [[arXiv]](https://arxiv.org/pdf/2008.03071.pdf)

- Parametrizing filters of a CNN with a GAN [[arXiv]](https://arxiv.org/abs/1710.11386)

- Private Post-GAN Boosting [[arXiv]](https://arxiv.org/abs/2007.11934)

- PixelGAN Autoencoders [[arXiv]](https://arxiv.org/abs/1706.00531)

- Progressive Growing of GANs for Improved Quality, Stability, and Variation [[arXiv]](https://arxiv.org/abs/1710.10196) [[Code]](https://github.com/tkarras/progressive_growing_of_gans)

- SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [[arXiv]](https://arxiv.org/abs/1609.05473)

- Sobolev GAN [[arXiv]](https://arxiv.org/abs/1711.04894)

- Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1803.10892)

- SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints [[arXiv]](https://arxiv.org/abs/1806.01482)

- Simple Black-Box Adversarial Perturbations for Deep Networks [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_11.pdf)

- Softmax GAN [[arXiv]](https://arxiv.org/abs/1704.06191)

- Stabilizing Training of Generative Adversarial Networks through Regularization [[arXiv]](https://arxiv.org/abs/1705.09367)

- Stacked Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1612.04357)

- Statistics of Deep Generated Images [[arXiv]](https://arxiv.org/abs/1708.02688)

- Structured Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1711.00889)

- Tangent-Normal Adversarial Regularization for Semi-supervised Learning [[pdf]](https://arxiv.org/pdf/1808.06088.pdf) [[code]](https://github.com/z331565360/Localized-GAN)

- Tensorizing Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1710.10772)

- The Cramer Distance as a Solution to Biased Wasserstein Gradients [[arXiv]](https://arxiv.org/abs/1705.10743)

- Towards Understanding Adversarial Learning for Joint Distribution Matching [[arXiv]](https://arxiv.org/abs/1709.01215)

- Triangle Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.06548)

- Training generative neural networks via Maximum Mean Discrepancy optimization [[arXiv]](https://arxiv.org/abs/1505.03906)

- Triple Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1703.02291)

- Unrolled Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.02163)

- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1511.06434) [[Code]](https://github.com/Newmu/dcgan_code) [[Code]](https://github.com/pytorch/examples/tree/master/dcgan) [[Code]](https://github.com/carpedm20/DCGAN-tensorflow) [[Code]](https://github.com/soumith/dcgan.torch) [[Code]](https://github.com/jacobgil/keras-dcgan)

- Variational Approaches for Auto-Encoding Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1706.04987)

- Variance Regularizing Adversarial Learning [[arXiv]](https://arxiv.org/abs/1707.00309)

- Wasserstein Distance Guided Representation Learning for Domain Adaptation [[arXiv]](https://arxiv.org/abs/1707.01217)

- Wasserstein GAN [[arXiv]](https://arxiv.org/abs/1701.07875) [[Code]](https://github.com/martinarjovsky/WassersteinGAN) [[Code]](https://github.com/wiseodd/generative-models)

## Applied Vision

- 3D Object Reconstruction from a Single Depth View with Adversarial Learning  [[arXiv]](https://arxiv.org/abs/1708.07969)

- 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations [[arXiv]](https://arxiv.org/abs/1805.00328)

- 3D Shape Induction from 2D Views of Multiple Objects [[arXiv]](https://arxiv.org/abs/1612.05872)

- ABC-GAN:Adaptive Blur and Control for improved training stability of Generative Adversarial Networks [[paper]](https://drive.google.com/file/d/0B3wEP_lEl0laVTdGcHE2VnRiMlE/view)

- Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters [[arXiv]](https://arxiv.org/abs/1705.02355)

- AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples  [[arXiv]](https://arxiv.org/abs/1805.04680)

- AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems [[arXiv]](https://arxiv.org/abs/1804.05347)

- AlphaGAN: Generative adversarial networks for natural image matting [[arXiv]](https://arxiv.org/abs/1807.10088)

- AMIL: Adversarial Multi-instance Learning for Human Pose Estimation [[arXiv]](https://arxiv.org/abs/2003.08002) [[Code]](https://github.com/pshams55/AMIL)

- A step towards procedural terrain generation with GANs [[arXiv]](https://arxiv.org/abs/1707.03383) [[Code]](https://github.com/christopher-beckham/gan-heightmaps)

- Abnormal Event Detection in Videos using Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1708.09644)

- Adversarial Generation of Training Examples for Vehicle License Plate Recognition [[arXiv]](https://arxiv.org/abs/1707.03124)

- Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos [[arXiv]](https://arxiv.org/abs/1803.09092)

- Adversarial nets with perceptual losses for text-to-image synthesis [[arXiv]](https://arxiv.org/abs/1708.09321)

- Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB [[arXiv]](https://arxiv.org/abs/1709.00265)

- Adversarial Networks for the Detection of Aggressive Prostate Cancer [[arXiv]](https://arxiv.org/abs/1702.08014)

- Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation [[arXiv]](https://arxiv.org/pdf/1705.00389.pdf)

- Adversarial Training For Sketch Retrieval [[arXiv]](https://arxiv.org/abs/1607.02748)

- Aesthetic-Driven Image Enhancement by Adversarial Learning [[arXiv]](https://arxiv.org/abs/1707.05251)

- Age Progression / Regression by Conditional Adversarial Autoencoder [[arXiv]](https://arxiv.org/abs/1702.08423)

- AgingMapGAN (AMGAN): High-ResolutionControllable Face Aging with Spatially-Aware Conditional GANs [[arXiv]](https://arxiv.org/pdf/2008.10960.pdf)

- Alias-Free Generative Adversarial Networks [[arXiv]](https://arxiv.org/pdf/2106.12423.pdf)

- AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1707.01400)

- Amortised MAP Inference for Image Super-resolution [[arXiv]](https://arxiv.org/abs/1610.04490)

- Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network [[arXiv]](https://arxiv.org/abs/1811.00344) [[Code]](https://github.com/subeeshvasu/2018_subeesh_epsr_eccvw)

- A Novel Approach to Artistic Textual Visualization via GAN [[arXiv]](https://arxiv.org/abs/1710.10553)

- Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification [[arXiv]](https://arxiv.org/abs/1709.03654)

- A Provably Convergent and Practical Algorithm for Min-max Optimization with Applications to GANs [[arXiv]](https://arxiv.org/abs/2006.12376)

- Arbitrary Facial Attribute Editing: Only Change What You Want [[arXiv]](https://arxiv.org/abs/1711.10678) [[Code]](https://github.com/LynnHo/AttGAN-Tensorflow)

- ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1709.00938)

- ArtGAN: Artwork Synthesis with Conditional Categorial GANs [[arXiv]](https://arxiv.org/abs/1702.03410)

- Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data [[arXiv]](https://arxiv.org/abs/1711.02010)

- A Style-Based Generator Architecture for Generative Adversarial Networks [[pdf]](https://arxiv.org/pdf/1812.04948.pdf)

- Assessing Generative Models via Precision and Recall [[pdf]](https://arxiv.org/pdf/1806.00035.pdf) [[code]](https://github.com/msmsajjadi/precision-recall-distributions.)

- Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis [[arXiv]](https://arxiv.org/abs/1706.08789)

- Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1705.01908)

- Automatic Liver Segmentation Using an Adversarial Image-to-Image Network [[arXiv]](https://arxiv.org/abs/1707.08037)

- Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [[arXiv]](https://arxiv.org/abs/1704.04086)

- Boundary-Seeking Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1702.08431v1)

- CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer [[arXiv]](https://arxiv.org/pdf/2008.10298.pdf)

- C-RNN-GAN: Continuous recurrent neural networks with adversarial training [[arXiv]](https://arxiv.org/abs/1611.09904)

- CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms [[arXiv]](https://arxiv.org/abs/1706.07068)

- CNN Detection of GAN-Generated Face Images based on Cross-Band Co-occurrences Analysis [[arXiv]](https://arxiv.org/abs/2007.12909)

- ClusterGAN : Latent Space Clustering in Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1809.03627)

- COCO-GAN: Generation by Parts via Conditional Coordinating [[arXiv]](https://arxiv.org/abs/1904.00284) [[Code]](https://github.com/hubert0527/COCO-GAN)

- ComboGAN: Unrestrained Scalability for Image Domain Translation [[arXiv]](https://arxiv.org/abs/1712.06909)

- CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition [[arXiv]](https://arxiv.org/abs/1811.07441) [[Code]](https://github.com/nschor/CompoNet)

- Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.00753)

- Conditional Adversarial Network for Semantic Segmentation of Brain Tumor [[arXiv]](https://arxiv.org/abs/1708.05227)

- Conditional generative adversarial nets for convolutional face generation [[Paper]](http://www.foldl.me/uploads/2015/conditional-gans-face-generation/paper.pdf)

- Conditional Image Synthesis with Auxiliary Classifier GANs [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_7.pdf) [[arXiv]](https://arxiv.org/abs/1610.09585) [[Code]](https://github.com/wiseodd/generative-models)

- Contextual RNN-GANs for Abstract Reasoning Diagram Generation [[arXiv]](https://arxiv.org/abs/1609.09444)

- Controllable Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1708.00598)

- Correlated discrete data generation using adversarial training [[arXiv]](https://arxiv.org/abs/1804.00925)

- Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields [[arXiv]](https://arxiv.org/abs/1708.08819)

- Creatism: A deep-learning photographer capable of creating professional work [[arXiv]](https://arxiv.org/abs/1707.03491)

- CR-GAN: Learning Complete Representations for Multi-view Generation [[paper]](https://www.ijcai.org/Proceedings/2018/0131.pdf)

- Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation [[arXiv]](https://arxiv.org/abs/1702.03431)

- Cross-Domain Face Synthesis using a Controllable GAN [[arXiv]](https://arxiv.org/pdf/1910.14247.pdf)

- CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training [[arXiv]](https://arxiv.org/abs/1703.10155)

- Data Augmentation in Classification using GAN [[arXiv]](https://arxiv.org/abs/1711.00648)

- Deep Generative Adversarial Compression Artifact Removal [[arXiv]](https://arxiv.org/abs/1704.02518)

- Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI [[arXiv]](https://arxiv.org/abs/1706.00051)

- Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis [[arXiv]](https://arxiv.org/abs/1708.00129)

- Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks [[arXiv]](https://arxiv.org/abs/1506.05751) [[Code]](https://github.com/facebook/eyescream) [[Blog]](http://soumith.ch/eyescream/)

- Deep multi-scale video prediction beyond mean square error [[arXiv]](https://arxiv.org/abs/1511.05440) [[Code]](https://github.com/dyelax/Adversarial_Video_Generation)

- Deep Unsupervised Representation Learning for Remote Sensing Images [[arXiv]](https://arxiv.org/abs/1612.08879)

- DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [[arXiv]](https://arxiv.org/abs/1706.02071)

- Depth Structure Preserving Scene Image Generation [[arXiv]](https://arxiv.org/abs/1706.00212)

- Designing GANs: A Likelihood Ratio Approach [[paper]](https://arxiv.org/pdf/2002.00865.pdf)

- Detection, Attribution and Localization of GAN Generated Images [[arXiv]](https://arxiv.org/abs/2007.10466)

- DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [[arXiv]](https://arxiv.org/abs/1704.02510) [[Code]](https://github.com/wiseodd/generative-models)

- Dual Motion GAN for Future-Flow Embedded Video Prediction [[arXiv]](https://arxiv.org/abs/1708.00284)

- EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning [[arXiv]](https://arxiv.org/abs/1901.00212) [[Code]](https://github.com/knazeri/edge-connect)

- Efficient Super Resolution For Large-Scale Images Using Attentional GAN [[arXiv]](https://arxiv.org/abs/1812.04821) [[Thesis]](https://digitalcommons.wpi.edu/etd-theses/1256/) [[Thesis]](https://www.wpi.edu/news/announcements/data-science-ms-thesis-presentation-xiaozhou-zou)

- Empirical Analysis of Overfitting and Mode Drop in GAN Training [[arXiv]](https://arxiv.org/abs/2006.14265)

- ExprGAN: Facial Expression Editing with Controllable Expression Intensity [[arXiv]](https://arxiv.org/abs/1709.03842)

- Face Aging with Contextual Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1802.00237)

- Free-Form Image Inpainting with Gated Convolution [[arXiv]](https://arxiv.org/abs/1806.03589)

- Free-Form Image Inpainting with Gated Convolution [[arXiv]](https://arxiv.org/abs/1806.03589)

- Face Aging With Conditional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1702.01983)

- Face Transfer with Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1710.06090)

- Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1710.04835)

- Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1707.05392)

- From source to target and back: symmetric bi-directional adaptive GAN [[arXiv]](https://arxiv.org/abs/1705.08824)

- Full Resolution Image Compression with Recurrent Neural Networks [[arXiv]](https://arxiv.org/abs/1608.05148)

- GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework [[arXiv]](https://arxiv.org/pdf/2008.11062.pdf)

- G-GANISR: Gradual generative adversarial network for image super resolution [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S0925231219311130)

- Generative Adversarial Frontal View to Bird View Synthesis [[arXiv]](https://arxiv.org/abs/1808.00327)

- Generative Modeling by Estimating Gradients of the Data Distribution [[pdf]](https://papers.nips.cc/paper/9361-generative-modeling-by-estimating-gradients-of-the-data-distribution.pdf)

- GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data [[arXiv]](https://arxiv.org/abs/1705.04932) [[Code]](https://github.com/Prinsphield/GeneGAN)

- Generate Identity-Preserving Faces by Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1706.03227)

- Generate To Adapt: Aligning Domains using Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1704.01705)

- Generative Adversarial Models for People Attribute Recognition in Surveillance [[arXiv]](https://arxiv.org/abs/1707.02240)

- Generative Adversarial Network based on Resnet for Conditional Image Restoration [[arxiv]](https://arxiv.org/abs/1707.04881)

- Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces [[arXiv]](https://arxiv.org/abs/1708.02681)

- Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking [[arXiv]](https://arxiv.org/abs/1705.05103)

- Generative Adversarial Text to Image Synthesis [[arXiv]](https://arxiv.org/abs/1605.05396) [[Code]](https://github.com/paarthneekhara/text-to-image)

- Generative Visual Manipulation on the Natural Image Manifold [[Project]](http://www.eecs.berkeley.edu/~junyanz/projects/gvm/) [[Youtube]](https://youtu.be/9c4z6YsBGQ0) [[Paper]](https://arxiv.org/abs/1609.03552) [[Code]](https://github.com/junyanz/iGAN)

- Global-to-Local Generative Model for 3D Shapes [[Project]](http://vcc.szu.edu.cn/research/2018/G2L)[[Code]](https://github.com/Hao-HUST/G2LGAN)

- GEN: Generative Equivariant Networks for diverse image-to-image translation [[Paper]](https://ieeexplore.ieee.org/abstract/document/9770477)

- GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks [[arXiv]](https://arxiv.org/abs/1710.00962)

- GP-GAN: Towards Realistic High-Resolution Image Blending [[arXiv]](https://arxiv.org/abs/1703.07195)

- Guiding InfoGAN with Semi-Supervision [[arXiv]](https://arxiv.org/abs/1707.04487)

- How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis [[arXiv]](https://arxiv.org/abs/1710.09762)

- Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1709.07581)

- High-Quality Face Image SR Using Conditional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1707.00737)

- High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks [[arXiv]](https://arxiv.org/abs/1710.10182)

- Image De-raining Using a Conditional Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1701.05957)

- Image Generation and Editing with Variational Info Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1701.04568)

- Image-to-Image Translation with Text Guidance [[paper]](https://arxiv.org/pdf/2002.05235.pdf)

- Image-to-Image Translation with Conditional Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.07004) [[Code]](https://github.com/phillipi/pix2pix)

- Improved Adversarial Systems for 3D Object Generation and Reconstruction [[arXiv]](https://arxiv.org/abs/1707.09557) [[Code]](https://github.com/EdwardSmith1884/3D-IWGAN)

- Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.02848)

- Improving image generative models with human interactions [[arXiv]](https://arxiv.org/abs/1709.10459)

- Imitating Driver Behavior with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1701.06699)

- Interactive 3D Modeling with a Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1706.05170)

- Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.02255)

- Invertible Conditional GANs for image editing [[arXiv]](https://arxiv.org/abs/1611.06355) [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_8.pdf)

- Joint Discriminative and Generative Learning for Person Re-identification [[Project]](http://zdzheng.xyz/DG-Net/) [[Paper]](https://arxiv.org/abs/1904.07223) [[YouTube]](https://www.youtube.com/watch?v=ubCrEAIpQs4) [[Bilibili]](https://www.bilibili.com/video/av51439240) [[Poster]](http://zdzheng.xyz/images/DGNet_poster.pdf) [[Code]](https://github.com/NVlabs/DG-Net)

- Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images [[arXiv]](https://arxiv.org/abs/1709.01993)

- Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models [[arXiv]](https://openreview.net/pdf?id=Sy8XvGb0-)

- Learning a Driving Simulator [[arXiv]](https://arxiv.org/abs/1608.01230)

- Learning a Generative Adversarial Network for High Resolution Artwork Synthesis [[arXiv]](https://arxiv.org/abs/1708.09533)

- Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling [[arXiv]](https://arxiv.org/abs/1610.07584)

- Learning Compositional Visual Concepts with Mutual Consistency [[arXiv]](https://arxiv.org/abs/1711.06148)

- Learning from Simulated and Unsupervised Images through Adversarial Training [[arXiv]](https://arxiv.org/abs/1612.07828)

- Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1703.05192)

- Learning to Generate Chairs with Generative Adversarial Nets [[arXiv]](https://arxiv.org/abs/1705.10413)

- Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts [[arXiv]](https://arxiv.org/abs/1612.00215)

- Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.07592)

- Lessons Learned from the Training of GANs on Artificial Datasets [[arXiv]](https://arxiv.org/abs/2007.06418)

- MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification [[arXiv]](https://arxiv.org/abs/1612.08879)

- Megapixel Size Image Creation using Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1706.00082)

- Microscopy Cell Segmentation via Adversarial Neural Networks [[arXiv]](https://arxiv.org/abs/1709.05860)

- MoCoGAN: Decomposing Motion and Content for Video Generation [[arXiv]](https://arxiv.org/abs/1707.04993)

- Multi-view Generative Adversarial Networks [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_13.pdf)

- Neural Photo Editing with Introspective Adversarial Networks [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_15.pdf) [[arXiv]](https://arxiv.org/abs/1609.07093)

- Neural Stain-Style Transfer Learning using GAN for Histopathological Images [[arXiv]](https://arxiv.org/abs/1710.08543)

- Outline Colorization through Tandem Adversarial Networks [[arXiv]](https://arxiv.org/abs/1704.08834)

- Perceptual Adversarial Networks for Image-to-Image Transformation [[arXiv]](https://arxiv.org/abs/1706.09138)

- Perceptual Generative Adversarial Networks for Small Object Detection [[arXiv]](https://arxiv.org/abs/1706.05274)

- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1609.04802)

- Pose Guided Person Image Generation [[arXiv]](https://arxiv.org/abs/1705.09368)

- Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1604.04382)

- Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network [[arXiv]](https://arxiv.org/abs/2006.12906)

- Recurrent Topic-Transition GAN for Visual Paragraph Generation [[arXiv]](https://arxiv.org/abs/1703.07022)

- RenderGAN: Generating Realistic Labeled Data [[arXiv]](https://arxiv.org/abs/1611.01331)

- Representation Learning and Adversarial Generation of 3D Point Clouds [[arXiv]](https://arxiv.org/abs/1707.02392)

- Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs [[arXiv]](https://arxiv.org/abs/2006.16644)

- Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution [[arXiv]](https://arxiv.org/abs/1710.04783)

- Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1706.09318)

- Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks [[arXiv]](https://arxiv.org/pdf/2008.04021.pdf)

- SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.08788)

- SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1701.01081v2)

- SeGAN: Segmenting and Generating the Invisible [[arXiv]](https://arxiv.org/abs/1703.10239)

- Semantic Image Inpainting with Deep Generative Models [[arXiv]](https://arxiv.org/abs/1607.07539)

- StainGAN: Stain Style Transfer for Digital Histological Images [[arXiv]](https://arxiv.org/abs/1804.01601)

- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [[arXiv]](https://arxiv.org/abs/1711.09020)

- StarGAN v2: Diverse Image Synthesis for Multiple Domains [[arXiv]](https://arxiv.org/abs/1912.01865)[[Code]](https://github.com/clovaai/stargan-v2)

- Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs [[arXiv]](https://arxiv.org/abs/1712.02765)

- Semantic Image Synthesis via Adversarial Learning [[arXiv]](https://arxiv.org/abs/1707.06873)

- Semantic Segmentation using Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.08408)

- Semantically Decomposing the Latent Spaces of Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1705.07904)

- Semi-Latent GAN: Learning to generate and modify facial images from attributes [[arXiv]](https://arxiv.org/abs/1704.02166)

- Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.06430)

- Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks  [[arXiv]](https://arxiv.org/abs/1711.06375)

- Sharpness-aware Low dose CT denoising using conditional generative adversarial network [[arXiv]](https://arxiv.org/abs/1708.06453)

- Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1708.09105)

- SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning [[arXiv]](https://arxiv.org/abs/1810.04991) [[Code]](https://github.com/Xiaoming-Yu/SingleGAN)

- Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning [[arXiv]](https://arxiv.org/abs/1710.02543)

- StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1612.03242)

- StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1710.10916)

- Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN [[arXiv]](https://arxiv.org/abs/1706.03319)

- Supervised Adversarial Networks for Image Saliency Detection [[arXiv]](https://arxiv.org/abs/1704.07242)

- Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) [[arXiv]](https://arxiv.org/abs/1707.09747)

- Synthesizing Filamentary Structured Images with GANs [[arXiv]](https://arxiv.org/abs/1706.02185)

- Synthetic Iris Presentation Attack using iDCGAN [[arXiv]](https://arxiv.org/abs/1710.10565)

- T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks [[arXiv]](https://arxiv.org/abs/1808.01454)

- TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1703.06412)

- Taming GANs with Lookahead [[arXiv]](https://arxiv.org/abs/2006.14567)

- Tangent-Normal Adversarial Regularization for Semi-supervised Learning [[arXiv]](https://arxiv.org/pdf/1808.06088.pdf)

- Temporal Generative Adversarial Nets with Singular Value Clipping [[arXiv]](https://arxiv.org/abs/1611.06624)

- TextureGAN: Controlling Deep Image Synthesis with Texture Patches [[arXiv]](https://arxiv.org/abs/1706.02823)

- Texture Synthesis with Spatial Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1611.08207v3) [[Code]](https://github.com/ubergmann/spatial_gan)

- Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language [[arXiv]](https://arxiv.org/abs/1810.11919) [[Code]](https://github.com/woozzu/tagan)

- The Conditional Analogy GAN: Swapping Fashion Articles on People Images [[arXiv]](https://arxiv.org/abs/1709.04695)

- Towards Adversarial Retinal Image Synthesis [[arXiv]](https://arxiv.org/abs/1701.08974) [[Code]](https://github.com/costapt/vess2ret) [[Demo]](http://vess2ret.inesctec.pt/retina)

- Toward Multimodal Image-to-Image Translation [[arXiv]](https://arxiv.org/abs/1711.11586)

- Towards Diverse and Natural Image Descriptions via a Conditional GAN [[arXiv]](https://arxiv.org/abs/1703.06029)

- Towards the Automatic Anime Characters Creation with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1708.05509)

- TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1808.07582)

- TripletGAN: Training Generative Model with Triplet Loss  [[arXiv]](https://arxiv.org/abs/1711.05084)

- TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification  [[arXiv]](https://arxiv.org/abs/2007.14852)

- TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios [[arXiv]](https://arxiv.org/pdf/2210.06609.pdf)

- TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition  [[arXiv]](https://arxiv.org/abs/1712.02514)

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

- UGAN: Enhancing Underwater Imagery using Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1801.04011)

- Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [[arXiv]](https://arxiv.org/abs/1701.07717)[[Code]](https://github.com/layumi/Person-reID_GAN)

- Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [[arXiv]](https://arxiv.org/abs/1703.10593)

- Unrolled Generative Adversarial Networks [[arXiv]](https://openreview.net/pdf?id=BydrOIcle)

- Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification [[arXiv]](https://arxiv.org/abs/2007.15560)

- Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1809.00437)

- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1511.06390)

- Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery [[arXiv]](https://arxiv.org/abs/1703.05921)

- Unsupervised Cross-Domain Image Generation [[arXiv]](https://arxiv.org/abs/1611.02200)

- Unsupervised Generative Adversarial Cross-modal Hashing  [[arXiv]](https://arxiv.org/abs/1712.00358)

- Unsupervised Diverse Colorization via Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1702.06674)

- Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1612.05424)

- Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1707.09798)

- VIGAN: Missing View Imputation with Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1708.06724)

- Video Prediction with Appearance and Motion Conditions [[arXiv]](https://arxiv.org/abs/1807.02635)

- WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [[arXiv]](https://arxiv.org/abs/1702.07392)

- Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [[arXiv]](https://arxiv.org/abs/1705.10904)

- ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions [[arXiv]](https://arxiv.org/abs/2007.12212)

## Image Fusion

- DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis [[arXiv]](https://arxiv.org/abs/2008.05865)

- FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing [[arXiv]](https://arxiv.org/abs/2001.06968)

- FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides [[arXiv]](https://arxiv.org/abs/2001.00692)

- FusionGAN: A generative adversarial network for infrared and visible image fusion [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S1566253518301143)

- MEF-GAN: Multi-Exposure Image Fusion via Generative Adversarial Networks [[paper]](https://ieeexplore.ieee.org/document/9112609)

- MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion [[arXiv]](https://arxiv.org/abs/2009.09718)

- Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators [[paper]](https://www.ijcai.org/Proceedings/2019/0549.pdf)

- Spatial Fusion GAN for Image Synthesis [[paper]](https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhan_Spatial_Fusion_GAN_for_Image_Synthesis_CVPR_2019_paper.pdf)

## Image Completion

- Deep Portrait Image Completion and Extrapolation [[arXiv]](https://arxiv.org/pdf/1808.07757.pdf)

- EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning [[arXiv]](https://arxiv.org/pdf/1901.00212v3.pdf)

- Pluralistic Image Completion [[paper]](https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Pluralistic_Image_Completion_CVPR_2019_paper.pdf)

- Semantic Image Completion and Enhancement using Deep Learning [[arXiv]](https://arxiv.org/pdf/1911.02222.pdf)

## Medical Images

- Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection [[arXiv]](https://arxiv.org/abs/1905.13456)

- CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement [[arXiv]](https://arxiv.org/abs/1807.07144)

- Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks [[paper]](https://www.nature.com/articles/s41598-019-52737-x)

- DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images [[paper]](https://www.sciencedirect.com/science/article/pii/S1746809419302137)

- f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S1361841518302640) [[Code]](https://github.com/tSchlegl/f-AnoGAN)

- GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification [[arXiv]](https://arxiv.org/abs/1803.01229)

- GANs for Biological Image Synthesis [[arXiv]](https://arxiv.org/abs/1708.04692)

- Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [[arXiv]](https://arxiv.org/abs/1708.00961)

- Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images [[arXiv]](https://arxiv.org/abs/1902.09856)

- Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN [[arXiv]](https://arxiv.org/abs/2006.14761)

- MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction  [[arXiv]](https://arxiv.org/abs/2007.13559)

- MedGAN: Medical Image Translation using GANs [[arXiv]](https://arxiv.org/abs/1806.06397)

- Melanoma Detection using Adversarial Training and Deep Transfer Learning [[arXiv]](https://arxiv.org/pdf/2004.06824.pdf) [[Code]](https://github.com/hasibzunair/adversarial-lesions)

- Medical Image Generation using Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/2005.10687)

- PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation [[arXiv]](https://arxiv.org/pdf/1812.07907v1.pdf) [[Code]](https://github.com/carrenD/Medical-Cross-Modality-Domain-Adaptation)

- Generative Adversarial Networks for Image-To-Image Translation on Multi-Contrast MR Images - A Comparision of CycleGAN and Unit [[arXiv]](https://arxiv.org/pdf/1806.07777v1.pdf) [[Code]](https://github.com/simontomaskarlsson/GAN-MRI)

- Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs [[arXiv]](https://arxiv.org/abs/1706.02633)

- Skin Lesion Synthesis with Generative Adversarial Networks [[arXiv]](https://arxiv.org/pdf/1902.03253v1.pdf) [[Code]](https://github.com/alceubissoto/gan-skin-lesion)

- SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [[arXiv]](https://arxiv.org/abs/1706.01805)

- Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images [[arXiv]](https://arxiv.org/abs/2006.15255)

- Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection [[arXiv]](https://arxiv.org/abs/1906.04962)

- Synthetic Medical Images from Dual Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.01872)

- TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=TomoGAN%3A+Low-Dose+X-Ray+Tomography+with+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1902.07582)

- Unpaired image denoising using a generative adversarial network in X-ray CT [[arXiv]](https://arxiv.org/abs/1903.06257)

- XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms [[arXiv]](https://arxiv.org/abs/2007.13408)

## Applied Other

- Adversarial Generation of Natural Language [[arXiv]](https://arxiv.org/abs/1705.10929)

- Adversarial Ranking for Language Generation [[arXiv]](https://arxiv.org/abs/1705.11001)

- Adversarial Training Methods for Semi-Supervised Text Classification [[arXiv]](https://arxiv.org/abs/1605.07725) [[Paper]](https://c4209155-a-62cb3a1a-s-sites.googlegroups.com/site/nips2016adversarial/WAT16_paper_12.pdf)

- Analysis of Nonautonomous Adversarial Systems [[arXiv]](https://arxiv.org/abs/1803.05045)

- A Generative Model for Volume Rendering [[arXiv]](A Generative Model for Volume Rendering)

- ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? [[arXiv]](https://arxiv.org/abs/1708.08227)

- Coverless Information Hiding Based on Generative adversarial networks   [[arXiv]](https://arxiv.org/abs/1712.06951)

- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models [[arXiv]](https://arxiv.org/abs/1805.06605)

- DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [[arXiv]](https://arxiv.org/abs/1706.02071)

- Easy High-Dimensional Likelihood-Free Inference [[arXiv]](https://arxiv.org/abs/1711.11139)

- Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN [[arXiv]](https://arxiv.org/abs/1702.05983)

- Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1703.06490)

- Interpolating GANs to Scaffold Autotelic Creativity [[arXiv]](https://arxiv.org/abs/2007.11119)

- Language Generation with Recurrent Generative Adversarial Networks without Pre-training [[arXiv]](https://arxiv.org/abs/1706.01399)

- Learning to Protect Communications with Adversarial Neural Cryptography [[arXiv]](https://arxiv.org/abs/1610.06918) [[Blog]](https://blog.acolyer.org/2017/02/10/learning-to-protect-communications-with-adversarial-neural-cryptography/)

- Long Text Generation via Adversarial Training with Leaked Information [[arXiv]](https://arxiv.org/abs/1709.08624)

- MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [[arXiv]](https://arxiv.org/abs/1703.10847)

- MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1709.06298)

- One-Sided Unsupervised Domain Mapping [[arXiv]](https://arxiv.org/abs/1706.00826)

- On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems [[arXiv]](https://arxiv.org/abs/2007.14974)

- Reconstruction of three-dimensional porous media using generative adversarial neural networks [[arXiv]](https://arxiv.org/abs/1704.03225) [[Code]](https://github.com/LukasMosser/PorousMediaGan)

- RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model [[arXiv]](https://arxiv.org/abs/2007.07452)

- SVSGAN: Singing Voice Separation via Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1710.11428)

- StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks [[arXiv]](https://arxiv.org/abs/1806.02169)

- SEGAN: Speech Enhancement Generative Adversarial Network [[arXiv]](https://arxiv.org/abs/1703.09452)

- Semi-supervised Learning of Compact Document Representations with Deep Networks [[Paper]](http://www.cs.nyu.edu/~ranzato/publications/ranzato-icml08.pdf)

- SSGAN: Secure Steganography Based on Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1707.01613)

- Steganographic Generative Adversarial Networks [[arXiv]](https://arxiv.org/abs/1703.05502)

- Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization [[arXiv]](https://arxiv.org/abs/1711.02666)

- To Create What You Tell: Generating Videos from Captions [[arXiv]](https://arxiv.org/abs/1804.08264)

- Towards Grounding Conceptual Spaces in Neural Representations [[arXiv]](https://arxiv.org/abs/1706.04825)

- Unsupervised Cipher Cracking Using Discrete GANs [[arXiv]](https://arxiv.org/abs/1801.04883)

- ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network [[arXiv]](https://arxiv.org/abs/1711.02413)