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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)

? [Adversarial autoencoders] [Paper] [Code]

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

? [Generative Visual manipulation on the Natural Image manifold] [Paper] [Code]

? [Neural Photo Editing with introspective adversarial Networks] [Paper]

? [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)

? [Towards principled Methods for Training generative adversarial Networks] [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]

Image inpainting

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

? [Context encoders:feature Learning by inpainting] [Paper] [Code]

Super-resolution

? [photo-realistic single Image super-resolution Using a generative adversarial Network] [Paper] [Code] (Using deep Residual network)

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)

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]

? [Image-to-image translation using conditional 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)

GAN theory

? [energy-based generative adversarial network] [Paper] [Code] (LeCun paper)

? [Improved techniques for Training Gans] [Paper] [Code] (Goodfellow ' s paper)

? [Mode regularizedgenerative 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]

3D

? [Learning a probabilistic latent Space of Object Shapes via 3D generative-adversarial Modeling] [Paper] [Web] [Code] (NIPS)

Face generative

? [autoencoding beyond Pixels using a learned similarity metric] [Paper] [Code]

? [Coupled generative adversarial Networks] [Paper] [Caffe Code] [TensorFlow Code] (NIPS)

Adversarial Examples

? [Intriguing properties of neural networks] [Paper]

? [Deep neural Networks is easily fooled:high Confidence predictions for unrecognizable Images] [Paper]

? [Explaining and harnessing adversarial Examples] [Paper]

? [Adversarial examples in the physical world] [Paper]

? [Universal adversarial perturbations] [Paper]

? [Robustness of Classifiers:from adversarial to random noise] [Paper]

? [Deepfool:a simple and accurate method to fool deep neural networks] [Paper]

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

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

? [1] http://www.inference.vc/

? [2] http://distill.pub/2016/deconv-checkerboard/

Other

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

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

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