https://github.com/zhangqianhui/AdversarialNetsPapers

AdversarialNetsPapers

The classical Papers about adversarial nets

The First paper

[Generative Adversarial Nets][Paper][Code](the first paper about it)

Unclassified

[Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks][Paper][Code]

[Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks][Paper][Code](Gan with convolutional networks)(ICLR)

[Adversarial Autoencoders][Paper][Code]

[Generating Images with Perceptual Similarity Metrics based on Deep Networks][Paper]

[Generating images with recurrent adversarial networks][Paper][Code]

[Generative Visual Manipulation on the Natural Image Manifold][Paper][Code]

[Generative Adversarial Text to Image Synthesis][Paper][Code][code]

[Learning What and Where to Draw][Paper][Code]

[Adversarial Training for Sketch Retrieval][Paper]

[Generative Image Modeling using Style and Structure Adversarial Networks][Paper][Code]

[Generative Adversarial Networks as Variational Training of Energy Based Models][Paper](ICLR 2017)

[Adversarial Training Methods for Semi-Supervised Text Classification][Paper][Note]( Ian Goodfellow Paper)

[Learning from Simulated and Unsupervised Images through Adversarial Training][Paper][code]（Apple paper）

[Synthesizing the preferred inputs for neurons in neural networks via deep generator networks][Paper][Code]

[SalGAN: Visual Saliency Prediction with Generative Adversarial Networks][Paper][Code]

[Adversarial Feature Learning][Paper]

Ensemble

[AdaGAN: Boosting Generative Models][Paper][[Code]]（Google Brain）

Clustering

[Unsupervised Learning Using Generative Adversarial Training And Clustering][Paper][Code](ICLR) [Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks][Paper](ICLR)

Image blending

[GP-GAN: Towards Realistic High-Resolution Image Blending][Paper][Code]

Image Inpainting

[Semantic Image Inpainting with Perceptual and Contextual Losses][Paper][Code](CVPR 2017)

[Context Encoders: Feature Learning by Inpainting][Paper][Code]

[Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks][Paper]

[Generative face completion][Paper][code](CVPR2017)

[Globally and Locally Consistent Image Completion][MainPAGE](SIGGRAPH 2017)

Joint Probability

[Adversarially Learned Inference][Paper][Code]

Super-Resolution

[Image super-resolution through deep learning ][Code](Just for face dataset)

[Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network][Paper][Code]（Using Deep residual network）

[EnhanceGAN][Docs][[Code]]

Disocclusion

[Robust LSTM-Autoencoders for Face De-Occlusion in the Wild][Paper]

Semantic Segmentation

[Adversarial Deep Structural Networks for Mammographic Mass Segmentation][Paper]

[Semantic Segmentation using Adversarial Networks][Paper]（soumith's paper）

Object Detection

[Perceptual generative adversarial networks for small object detection][Paper](CVPR 2017)

[A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection][Paper][code](CVPR2017)

RNN

[C-RNN-GAN: Continuous recurrent neural networks with adversarial training][Paper][Code]

Conditional adversarial

[Conditional Generative Adversarial Nets][Paper][Code]

[InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets][Paper][Code][Code]

[Conditional Image Synthesis With Auxiliary Classifier GANs][Paper][Code](GoogleBrain ICLR 2017)

[Pixel-Level Domain Transfer][Paper][Code]

[Invertible Conditional GANs for image editing][Paper][Code]

[Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space][Paper][Code]

[StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks][Paper][Code]

Video Prediction

[Deep multi-scale video prediction beyond mean square error][Paper][Code](Yann LeCun's paper)

[Unsupervised Learning for Physical Interaction through Video Prediction][Paper](Ian Goodfellow's paper)

[Generating Videos with Scene Dynamics][Paper][Web][Code]

Texture Synthesis & style transfer

[Precomputed real-time texture synthesis with markovian generative adversarial networks][Paper][Code](ECCV 2016)

Image translation

[UNSUPERVISED CROSS-DOMAIN IMAGE GENERATION][Paper][Code]

[Image-to-image translation using conditional adversarial nets][Paper][Code][Code]

[Learning to Discover Cross-Domain Relations with Generative Adversarial Networks][Paper][Code]

[Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks][Paper][Code]

[Unsupervised Image-to-Image Translation with Generative Adversarial Networks][Paper]

[Unsupervised Image-to-Image Translation Networks][Paper]

GAN Theory

[Energy-based generative adversarial network][Paper][Code](Lecun paper)

[Improved Techniques for Training GANs][Paper][Code](Goodfellow's paper)

[Mode Regularized Generative Adversarial Networks][Paper](Yoshua Bengio , ICLR 2017)

[Improving Generative Adversarial Networks with Denoising Feature Matching][Paper][Code](Yoshua Bengio , ICLR 2017)

[Sampling Generative Networks][Paper][Code]

[Mode Regularized Generative Adversarial Networkss][Paper]( Yoshua Bengio's paper)

[How to train Gans][Docu]

[Towards Principled Methods for Training Generative Adversarial Networks][Paper](ICLR 2017)

[Unrolled Generative Adversarial Networks][Paper][Code](ICLR 2017)

[Least Squares Generative Adversarial Networks][Paper][Code]

[Wasserstein GAN][Paper][Code]

[Improved Training of Wasserstein GANs][Paper][Code](The improve of wgan)

[Towards Principled Methods for Training Generative Adversarial Networks][Paper]

3D

[Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling][Paper][Web][code](2016 NIPS)

[Transformation-Grounded Image Generation Network for Novel 3D View Synthesis][Web](CVPR 2017)

MUSIC

[MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions][Paper][HOMEPAGE]

Face Generative and Editing

[Autoencoding beyond pixels using a learned similarity metric][Paper][code]

[Coupled Generative Adversarial Networks][Paper][Caffe Code][Tensorflow Code]（NIPS）

[Invertible Conditional GANs for image editing][Paper][Code]

[Learning Residual Images for Face Attribute Manipulation][Paper][code](CVPR 2017)

[Neural Photo Editing with Introspective Adversarial Networks][Paper][Code](ICLR 2017)

[Neural Face Editing with Intrinsic Image Disentangling][Paper](CVPR 2017)

For discrete distributions

[Maximum-Likelihood Augmented Discrete Generative Adversarial Networks][Paper]

[Boundary-Seeking Generative Adversarial Networks][Paper]

[GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution][Paper]

Adversarial Examples

[SafetyNet: Detecting and Rejecting Adversarial Examples Robustly][Paper]

Project

[cleverhans][Code](A library for benchmarking vulnerability to adversarial examples)

[reset-cppn-gan-tensorflow][Code](Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images)

[HyperGAN][Code](Open source GAN focused on scale and usability)

Blogs

AuthorAddressinFERENCeAdversarial networkinFERENCeInfoGandistillDeconvolution and Image GenerationyingzhenliGan theoryOpenAIGenerative model

Other

[1]http://www.iangoodfellow.com/slides/2016-12-04-NIPS.pdf (NIPS Goodfellow Slides)[Chinese Trans][details]

[2][PDF](NIPS Lecun Slides)