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https://github.com/shawnyuen/gans_paper_collection

cgans deep-learning gans generative-adversarial-network keras medical-image-analysis medical-imaging pytorch tensorflow tensorlayer theano torch

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# gans_paper_collection



## Review or Survey

### NIPS 2016 Tutorial Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1701.00160)

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



## 2023

### Scaling up GANs for Text-to-Image Synthesis CVPR 2023 [[arXiv paper]](https://arxiv.org/abs/2303.05511) [[project]](https://mingukkang.github.io/GigaGAN/)



## 2014

### Generative Adversarial Nets [[paper]](https://papers.nips.cc/paper/5423-generative-adversarial-nets) [[code]](https://github.com/goodfeli/adversarial)

### Conditional Generative Adversarial Nets [[paper]](https://arxiv.org/abs/1411.1784)



## 2015

### Deep Generative Image Models Using a Laplacian Pyramid of Adversarial Networks [[paper]](https://papers.nips.cc/paper/5773-deep-generative-image-models-using-a-laplacian-pyramid-of-adversarial-networks)

### Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1511.06434) [[code]](https://github.com/Newmu/dcgan_code)

### Adversarial Autoencoders [[paper]](https://arxiv.org/abs/1511.05644)

### Deep Multi-scale Video Prediction Beyond Mean Square Error [[paper]](https://arxiv.org/abs/1511.05440)

### Autoencoding beyond Pixels Using a Learned Similarity Metric [[paper]](https://arxiv.org/abs/1512.09300)

### A Note on the Evaluation of Generative Models [[paper]](https://arxiv.org/abs/1511.01844)



## 2016

### (pix2pix) Image-to-image Translation with Conditional Adversarial Networks [[paper]](https://arxiv.org/abs/1611.07004) [[Pytorch code]](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) [[Torch code]](https://github.com/phillipi/pix2pix) [[TF code]](https://github.com/affinelayer/pix2pix-tensorflow)

### Semantic Segmentation Using Adversarial Networks [[paper]](https://arxiv.org/abs/1611.08408)

### StackGAN Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1612.03242) [[code]](https://github.com/hanzhanggit/StackGAN)

### Photo-realistic Single Image Super-resolution Using a Generative Adversarial Network [[paper]](https://arxiv.org/abs/1609.04802) [[tf+tl code]](https://github.com/zsdonghao/SRGAN) [[Torch code]](https://github.com/junhocho/SRGAN) [[Torch code]](https://github.com/leehomyc/Photo-Realistic-Super-Resoluton)

### Generating Images with Perceptual Similarity Metrics based on Deep Networks [[paper]](https://arxiv.org/abs/1602.02644)

### Generating Images with Recurrent Adversarial Networks [[paper]](https://arxiv.org/abs/1602.05110)

### Generative Visual Manipulation on the Natural Image Manifold [[paper]](https://arxiv.org/abs/1609.03552) [[code]](https://github.com/junyanz/iGAN) [[project]](https://people.eecs.berkeley.edu/~junyanz/projects/gvm/) [[video]](https://www.youtube.com/watch?v=9c4z6YsBGQ0)

### Generative Adversarial Text to Image Synthesis [[paper]](https://arxiv.org/abs/1605.05396)

### Learning What and Where to Draw [[paper]](https://arxiv.org/abs/1610.02454)

### Adversarial Training for Sketch Retrieval [[paper]](https://arxiv.org/abs/1607.02748)

### Generative Image Modeling using Style and Structure Adversarial Networks [[paper]](https://arxiv.org/abs/1603.05631)

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

### Adversarial Training Methods for Semi-Supervised Text Classification [[paper]](https://arxiv.org/abs/1605.07725)

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

### Synthesizing the preferred inputs for neurons in neural networks via deep generator networks [[paper]](https://arxiv.org/abs/1605.09304)

### Adversarial Feature Learning [[paper]](https://arxiv.org/abs/1605.09782)

### Semantic Image Inpainting with Perceptual and Contextual Losses [[paper]](https://arxiv.org/abs/1607.07539)

#### "Semantic Image Inpainting with Deep Generative Models" the same as the above but different title.

### Context Encoders: Feature Learning by Inpainting [[paper]](https://arxiv.org/abs/1604.07379)

### Semi-supervised Learning with Context-conditional Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1611.06430)

### Robust LSTM-autoencoders for Face De-occlusion in the Wild [[paper]](https://arxiv.org/abs/1612.08534)

### C-RNN-GAN: Continuous Recurrent Neural Networks with Adversarial Training [[paper]](https://arxiv.org/abs/1611.09904)

### InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [[Paper]](https://arxiv.org/abs/1606.03657)

### Conditional Image Synthesis with Auxiliary Classifier GANs [[paper]](https://arxiv.org/abs/1610.09585)

### Pixel-level Domain Transfer [[paper]](https://arxiv.org/abs/1603.07442)

### Invertible Conditional GANs for Image Editing [[paper]](https://arxiv.org/abs/1611.06355)

### Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space [[Paper]](https://arxiv.org/abs/1612.00005)

### Unsupervised Learning for Physical Interaction through Video Prediction [[paper]](https://arxiv.org/abs/1605.07157)

### Generating Videos with Scene Dynamics [[paper]](https://arxiv.org/abs/1609.02612)

### Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1604.04382) [[code]](https://github.com/chuanli11/MGANs)

### Medical Image Synthesis with Context-aware Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1612.05362)

### Learning Temporal Transformations from Time-lapse Videos [[paper]](https://link.springer.com/chapter/10.1007/978-3-319-46484-8_16)

### Improved Techniques for Training GANs NIPS 2016 [[paper]](https://papers.nips.cc/paper/6125-improved-techniques-for-training-gans)

### Mode Regularized Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1612.02136)

### Amortised MAP Inference for Image Super-resolution [[paper]](https://openreview.net/pdf?id=S1RP6GLle)

### Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

### Adversarially Learned Inference [[paper]](https://openreview.net/pdf?id=B1ElR4cgg) [[code]](https://github.com/IshmaelBelghazi/ALI)

### Adversarial Feature Learning [[paper]](https://arxiv.org/abs/1605.09782)

### EnhanceNet Single Image Super-Resolution through Automated Texture Synthesis [[paper]](https://arxiv.org/abs/1612.07919)

### One-to-Many Network for Visually Pleasing Compression Artifacts Reduction [[paper]](https://arxiv.org/abs/1611.04994)

### Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring [[paper]](https://arxiv.org/abs/1612.02177) [[Torch code]](https://github.com/SeungjunNah/DeepDeblur_release)

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

### Least Squares Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1611.04076) [[code]](https://github.com/xudonmao/LSGAN)

### Inverting The Generator Of A Generative Adversarial Network [[paper]](https://arxiv.org/abs/1611.05644)

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

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

### Energy-based Generative Adversarial Network [[paper]](https://arxiv.org/abs/1609.03126)

### Neural Photo Editing with Introspective Adversarial Networks [[paper]](https://arxiv.org/abs/1609.07093)

### Ultra-Resolving Face Images by Discriminative Generative Networks [[paper]](https://link.springer.com/chapter/10.1007/978-3-319-46454-1_20)

### Generative Adversarial Nets from a Density Ratio Estimation Perspective [[paper]](https://arxiv.org/abs/1610.02920)

### Adversarially Learned Inference [[paper]](https://arxiv.org/abs/1606.00704)

### Generative Multi-Adversarial Networks [[paper]](https://arxiv.org/abs/1611.01673)

### (DTN) Unsupervised Cross-Domain Image Generation ICLR 2017 [[paper]](https://arxiv.org/abs/1611.02200) [[code]](https://github.com/yunjey/domain-transfer-network)



## 2017

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

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

### Unsupervised Image-to-image Translation with Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1701.02676)

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

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

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

### Image De-raining Using a Conditional Generative Adversarial Network [[paper]](https://arxiv.org/abs/1701.05957), [[code]](https://github.com/hezhangsprinter/ID-CGAN)

### Semi-latent GAN Learning to Generate and Modify Facial Images from Attributes [[paper]](https://arxiv.org/abs/1704.02166)

### Loss-sensitive Generative Adversarial Networks on Lipschitz Densities [[paper]](https://arxiv.org/abs/1701.06264) [[code]](https://github.com/guojunq/lsgan)

### On the Effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1704.03971)

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

### Neural Face Editing with Intrinsic Image Disentangling [[paper]](https://arxiv.org/abs/1704.04131)

### (DualGAN) DualGAN: Unsupervised Dual Learning for Image-to-Image Translation ICCV 2017 [[paper]](https://arxiv.org/abs/1704.02510) [[code]](https://github.com/duxingren14/DualGAN)

### (CycleGAN) Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks ICCV 2017 [[paper]](https://arxiv.org/abs/1703.10593) [[code]](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)

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

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

### Real-Time Adaptive Image Compression [[paper]](https://arxiv.org/abs/1705.05823)

### Improved Training of Wasserstein GANs NIPS 2017 [[paper]](https://arxiv.org/abs/1704.00028) [[code]](https://github.com/igul222/improved_wgan_training)

### The Cramer Distance as a Solution to Biased Wasserstein Gradients [[paper]](https://arxiv.org/abs/1705.10743) [[code]](https://github.com/jiamings/cramer-gan)

### Video Imagination from a Single Image with Transformation Generation [[paper]](https://arxiv.org/abs/1706.04124)

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

### (TextureGAN) TextureGAN Controlling Deep Image Synthesis with Texture Patches CVPR 2018 [[paper]](https://arxiv.org/abs/1706.02823) [[code]](https://github.com/janesjanes/Pytorch-TextureGAN)

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

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

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

### Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1706.09318) [[Keras+TF code]](https://bitbucket.org/woalsdnd/v-gan)

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

### Adversarial Image Alignment and Interpolation [[paper]](https://arxiv.org/abs/1707.00067)

### On Unifying Deep Generative Models [[paper]](https://arxiv.org/abs/1706.00550)

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

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

### Self Adversarial Training for Human Pose Estimation [[paper]](https://arxiv.org/abs/1707.02439)

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

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

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

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

### Virtual PET Images from CT Data Using Deep Convolutional Networks Initial Results [[paper]](https://arxiv.org/abs/1707.09585)

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

### Deep MR to CT Synthesis using Unpaired Data [[paper]](https://arxiv.org/abs/1708.01155)

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

### Bayesian GAN [[paper]](https://arxiv.org/abs/1705.09558)

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

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

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

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

### Adversarial Training and Dilated Convolutions for Brain MRI Segmentation [[paper]](https://arxiv.org/abs/1707.03195)

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

### Adversarial Nets with Perceptual Losses for Text-to-image Synthesis [[paper]](https://arxiv.org/abs/1708.09321)

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

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

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

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

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

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

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

### Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification [[paper]](https://arxiv.org/abs/1709.01703)

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

### Generative Semantic Manipulation with Contrasting GAN ECCV 2018 [[paper]](https://arxiv.org/abs/1708.00315)

### Deep Generative Filter for Motion Deblurring [[paper]](https://arxiv.org/abs/1709.03481)

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

### Exposure A White-Box Photo Post-Processing Framework [[paper]](https://arxiv.org/abs/1709.09602)

### A Study of Cross-domain Generative Models applied to Cartoon Series [[paper]](https://arxiv.org/abs/1710.00755)

### Fisher GAN [[paper]](https://arxiv.org/abs/1705.09675)

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

### Many Paths to Equilibrium GANs Do Not Need to Decrease aDivergence At Every Step [[paper]](https://arxiv.org/abs/1710.08446)

### Progressive Growing of GANs for Improved Quality, Stability, and Variation [[paper]](http://research.nvidia.com/sites/default/files/pubs/2017-10_Progressive-Growing-of//karras2017gan-paper.pdf) [[code]](https://github.com/tkarras/progressive_growing_of_gans)

### Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1709.08810)

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

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

### SEGAN Speech Enhancement Generative Adversarial Network [[paper]](https://arxiv.org/abs/1703.09452) [[code]](https://github.com/santi-pdp/segan)

### BEGAN Boundary Equilibrium Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1703.10717)

### StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation CVPR 2018 [[paper]](https://arxiv.org/abs/1711.09020) [[Pytorch code]](https://github.com/yunjey/StarGAN)

### (pix2pix-HD) High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs CVPR 2018 [[paper]](https://arxiv.org/abs/1711.11585) [[code]](https://github.com/NVIDIA/pix2pixHD)

### Precise Recovery of Latent Vectors from Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1702.04782)

### Towards Principled Methods for Training Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1701.04862)

### Wasserstein GAN [[paper]](https://arxiv.org/abs/1701.07875)

### The Numerics of GANs [[paper]](https://arxiv.org/abs/1705.10461)

### Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders [[paper]](http://openaccess.thecvf.com/content_cvpr_2017/html/Yu_Hallucinating_Very_Low-Resolution_CVPR_2017_paper.html)

### Deep Future Gaze Gaze Anticipation on Egocentric Videos Using Adversarial Networks [[paper]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Deep_Future_Gaze_CVPR_2017_paper.pdf)

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

### MARTA GANs Unsupervised Representation Learning for Remote Sensing Image Classification [[paper]](http://ieeexplore.ieee.org/document/8059820/)

### Adversarial Variational Bayes Unifying Variational Autoencoders and Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1701.04722)

### Adversarial Stain Transfer for Histopathology Image Analysis [[paper]](http://ieeexplore.ieee.org/document/8170242/)

### Geometrical Insights for Implicit Generative Modeling [[paper]](https://arxiv.org/abs/1712.07822)

"Leon Bottou"

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

### Learning Face Age Progression: A Pyramid Architecture of GANs [[paper]](https://arxiv.org/abs/1711.10352)

### (BicycleGAN) Toward Multimodal Image-to-Image Translation NIPS 2017 [[paper]](https://arxiv.org/abs/1711.11586) [[code]](https://github.com/junyanz/BicycleGAN)

### (UNIT) Unsupervised Image-to-Image Translation Networks NIPS 2017 [[paper]](https://arxiv.org/abs/1703.00848) [[code]](https://github.com/mingyuliutw/UNIT)

### (DiscoGAN) Learning to Discover Cross-Domain Relations with Generative Adversarial Networks ICML 2017 [[paper]](https://arxiv.org/abs/1703.05192) [[code]](https://github.com/SKTBrain/DiscoGAN)

### (DistanceGAN) One-Sided Unsupervised Domain Mapping NISP 2017 [[paper]](https://arxiv.org/abs/1706.00826) [[code]](https://github.com/sagiebenaim/DistanceGAN)

### (Triangle GAN) Triangle Generative Adversarial Networks NIPS 2017 [[paper]](https://arxiv.org/abs/1709.06548) [[code]](https://github.com/LiqunChen0606/Triangle-GAN)

### AttGAN: Facial Attribute Editing by Only Changing What You Want 2017 [[paper]](https://arxiv.org/abs/1711.10678) [[code]](https://github.com/LynnHo/AttGAN-Tensorflow)



## 2018

### Coupled Generative Adversarial Stacked Auto-encoder: CoGASA [[paper]](https://www.sciencedirect.com/science/article/pii/S0893608018300029)

### High-throughput, High-resolution Generated Adversarial Network Microscopy [[paper]](https://arxiv.org/abs/1801.07330)

### Geometry Score A Method For Comparing Generative Adversarial Networks [[paper]](https://arxiv.org/abs/1802.026640) [[code]](https://github.com/geom-score/geometry-score)

### Mastering Sketching Adversarial Augmentation for Structured Prediction [[paper]](https://arxiv.org/abs/1703.08966)

"TOG"

### 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network [[paper]](https://arxiv.org/abs/1802.05656)

### Learning to Adapt Structured Output Space for Semantic Segmentation [[paper]](https://arxiv.org/abs/1802.10349)

### A Study into the Similarity in Generator and Discriminator in GAN Architecture [[paper]](https://arxiv.org/abs/1802.07401)

### An Introduction to Image Synthesis with Generative Adversarial Nets [[paper]](https://arxiv.org/abs/1803.04469)

"text2image, image2image"

### Densely Connected Pyramid Dehazing Network [[paper]](https://arxiv.org/abs/1803.08396), [[code]](https://github.com/hezhangsprinter/DCPDN)

### 3D Conditional Generative Adversarial Networks for High-quality PET Image Estimation at Low Dose [[paper]](https://www.sciencedirect.com/science/article/pii/S1053811918302507)

### Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network [[paper]](https://arxiv.org/abs/1803.01417)

### Spectral Normalization for Generative Adversarial Networks ICLR 2018 [[paper]](https://openreview.net/forum?id=B1QRgziT-) [[code]](https://github.com/pfnet-research/sngan_projection)

### PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup [[paper]](http://gfx.cs.princeton.edu/pubs/Chang_2018_PAS/index.php)

### Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network CVPR 2018 [[paper]](https://arxiv.org/abs/1802.09655)

### Improving Shape Deformation in Unsupervised Image-to-Image Translation ECCV 2018 [[paper]](http://openaccess.thecvf.com/content_ECCV_2018/html/Aaron_Gokaslan_Improving_Shape_Deformation_ECCV_2018_paper.html) [[code]](https://github.com/brownvc/ganimorph/)

### To learn image super-resolution, use a GAN to learn how to do image degradation first ECCV 2018 [[paper]](http://openaccess.thecvf.com/content_ECCV_2018/html/Adrian_Bulat_To_learn_image_ECCV_2018_paper.html)

### GANimation Anatomically-aware Facial Animation from a Single Image ECCV 2018 [[paper]](http://openaccess.thecvf.com/content_ECCV_2018/html/Albert_Pumarola_Anatomically_Coherent_Facial_ECCV_2018_paper.html) [[code]](https://github.com/albertpumarola/GANimation)

### SwapNet Garment Transfer in Single View Images ECCV 2018 [[paper]](http://openaccess.thecvf.com/content_ECCV_2018/html/Amit_Raj_SwapNet_Garment_Transfer_ECCV_2018_paper.html)

### Modular Generative Adversarial Networks ECCV 2018 [[paper]](http://openaccess.thecvf.com/content_ECCV_2018/html/Bo_Zhao_Modular_Generative_Adversarial_ECCV_2018_paper.html)

### Image Generation from Sketch Constraint Using Contextual GAN ECCV 2018 [[paper]](https://arxiv.org/abs/1711.08972)

### Smart, Sparse Contours to Represent and Edit Images CVPR 2018 [[paper]](https://arxiv.org/abs/1712.08232)

### Image-to-image Translation for Cross-domain Disentanglement NIPS 2018 [[paper]](https://arxiv.org/abs/1805.09730)

### (CartoonGAN) CartoonGAN: Generative Adversarial Networks for Photo Cartoonization CVPR 2018 [[paper]](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.pdf) [[code]](https://github.com/znxlwm/pytorch-CartoonGAN)

### (SCAN) Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks ECCV 2018 [[paper]](https://arxiv.org/abs/1807.08536)

### (InstaGAN) Instance-aware image-to-image translation 2018 [[paper]](https://openreview.net/pdf?id=ryxwJhC9YX)

### Geometry Guided Adversarial Facial Expression Synthesis ACM MM 2018 [[paper]](https://arxiv.org/abs/1712.03474)

### DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks CVPR 2018 [[paper]](https://arxiv.org/abs/1802.06454)

### Attention-GAN for Object Transfiguration in Wild Images 2018 [[paper]](https://arxiv.org/abs/1803.06798)

### Unsupervised Attention-guided Image to Image Translation NIPS 2018 [[paper]](https://arxiv.org/abs/1806.02311) [[code]](https://github.com/AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation)

### Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention 2018 [[paper]](https://arxiv.org/abs/1806.06195)

### Conditional CycleGAN for Attribute Guided Face Image Generation ECCV 2018 [[paper]](https://arxiv.org/abs/1705.09966)

### Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data ICML 2018 [[paper]](https://arxiv.org/abs/1802.10151) [[code]](https://github.com/aalmah/augmented_cyclegan)

### Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation ACM MM 2018 [[paper]](https://arxiv.org/abs/1805.07509) [[code]](https://github.com/zhangqianhui/Sparsely-Grouped-GAN)

### XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings ICML 2018 [[paper]](https://arxiv.org/abs/1711.05139)

### ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes ECCV 2018 [[paper]](https://arxiv.org/abs/1803.10562) [[code]](https://github.com/Prinsphield/ELEGANT)

### (MUNIT) Multimodal Unsupervised Image-to-Image Translation ECCV 2018 [[paper]](https://arxiv.org/abs/1804.04732) [[code]](https://github.com/NVlabs/MUNIT)

### Conditional Image-to-Image Translation CVPR 2018 [[paper]](https://arxiv.org/abs/1805.00251)

### Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency

### Diverse Image-to-Image Translation via Disentangled Representations ECCV 2018 [[paper]](https://arxiv.org/abs/1808.00948) [[code]](https://github.com/HsinYingLee/DRIT)

### (BigGANs) Large Scale GAN Training for High Fidelity Natural Image Synthesis ICLR 2019 [[paper]](https://arxiv.org/abs/1809.11096)



## 2019

### Self-Supervised Generative Adversarial Networks CVPR 2019 [[paper]](https://arxiv.org/abs/1811.11212)

”arXiv v2: Self-Supervised GANs via Auxiliary Rotation Loss“

### SinGAN: Learning a Generative Model from a Single Natural Image ICCV 2019 [[paper]](https://arxiv.org/abs/1905.01164)