Build against network resources adversarial Nets Papers

Source: Https://github.com/zhangqianhui/AdversarialNetsPapersAdversarialnetspapers

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 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 on 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 inpainting

? [Semantic Image inpainting with perceptual and contextual losses] [Paper] [Code]

? [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

? [Semantic segmentation using adversarial Networks] [Paper] (Soumith ' s Paper)

Object Detection

? [Perceptual generative adversarial networks for small object detection] [[Paper]] (Submitted)

? [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]

? [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] (NIPS)

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]

? [Neural Photo Editing with introspective adversarial Networks] [Paper] [Code] (ICLR 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

Author	Address
Inference	Adversarial network
Inference	Infogan
Distill	Deconvolution and Image Generation
Yingzhenli	Gan theory
OpenAI	Generative model

Other

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

? [2] [PDF] (NIPS lecun Slides)

Build against network resources adversarial Nets Papers