/really-awesome-gan

A list of papers on General Adversarial (Neural) Networks

really-awesome-gan

A list of papers and other resources on General Adversarial (Neural) Networks. This site is maintained by Holger Caesar. To complement or correct it, please contact me at holger-at-it-caesar.com or visit it-caesar.com. Also checkout really-awesome-semantic-segmentation and our COCO-Stuff dataset.

Overview

Workshops

  • NIPS 2016 Workshop on Adversarial Training [Web] [Blog]

Tutorials & Blogs

  • How to Train a GAN? Tips and tricks to make GANs work [Blog]
  • NIPS 2016 Tutorial: Generative Adversarial Networks [arXiv]
  • On the intuition behind deep learning & GANs — towards a fundamental understanding [Blog]
  • OpenAI - Generative Models [Blog]
  • SimGANs - a game changer in unsupervised learning, self driving cars, and more [Blog]

Papers

Theory & Machine Learning

  • A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [arXiv]
  • A General Retraining Framework for Scalable Adversarial Classification [Paper]
  • Adversarial Autoencoders [arXiv]
  • Adversarial Discriminative Domain Adaptation [arXiv]
  • Adversarial Generator-Encoder Networks [arXiv]
  • Adversarial Feature Learning [arXiv] [Code]
  • Adversarially Learned Inference [arXiv] [Code]
  • An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [arXiv]
  • Associative Adversarial Networks [arXiv]
  • BEGAN: Boundary Equilibrium Generative Adversarial Networks [Paper] [arXiv] [Code]
  • Boundary-Seeking Generative Adversarial Networks [arXiv] [Code]
  • Conditional Generative Adversarial Nets [arXiv] [Code]
  • Connecting Generative Adversarial Networks and Actor-Critic Methods [Paper]
  • Cooperative Training of Descriptor and Generator Networks [arXiv]
  • Coupled Generative Adversarial Networks [arXiv] [Code]
  • Energy-based Generative Adversarial Network [arXiv] [Code]
  • Explaining and Harnessing Adversarial Examples [arXiv]
  • f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [arXiv] [Code]
  • Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking [[arXiv]] (https://arxiv.org/abs/1704.04865)
  • Generating images with recurrent adversarial networks [arXiv]
  • Generative Adversarial Nets with Labeled Data by Activation Maximization [arXiv]
  • Generative Adversarial Networks [arXiv] [Code] [Code]
  • Generative Adversarial Parallelization [arXiv] [Code]
  • Generative Adversarial Residual Pairwise Networks for One Shot Learning [arXiv]
  • Generative Adversarial Structured Networks [Paper]
  • Generative Moment Matching Networks [arXiv] [Code]
  • Improved Techniques for Training GANs [arXiv] [Code]
  • Improved Training of Wasserstein GANs [arXiv] [Code]
  • InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [arXiv] [Code]
  • Inverting The Generator Of A Generative Adversarial Network [Paper]
  • Learning in Implicit Generative Models [Paper]
  • Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv] [Code]
  • Least Squares Generative Adversarial Networks [arXiv] [Code]
  • Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities [arXiv]
  • LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation [arXiv]
  • MAGAN: Margin Adaptation for Generative Adversarial Networks [arXiv] [Code]
  • Maximum-Likelihood Augmented Discrete Generative Adversarial Networks [arXiv]
  • Mode Regularized Generative Adversarial Networks [arXiv] [Code]
  • Multi-Agent Diverse Generative Adversarial Networks [arXiv]
  • On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [arXiv]
  • On the Quantitative Analysis of Decoder-Based Generative Models [arXiv]
  • SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [arXiv]
  • Simple Black-Box Adversarial Perturbations for Deep Networks [Paper]
  • Stacked Generative Adversarial Networks [arXiv]
  • Training generative neural networks via Maximum Mean Discrepancy optimization [arXiv]
  • Triple Generative Adversarial Nets [arXiv]
  • Unrolled Generative Adversarial Networks [arXiv]
  • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [arXiv] [Code] [Code [Code] [Code] [Code]
  • Wasserstein GAN [arXiv] [Code] [Code]

Applied Vision

  • Adversarial Networks for the Detection of Aggressive Prostate Cancer [arXiv]
  • Age Progression / Regression by Conditional Adversarial Autoencoder [arXiv]
  • ArtGAN: Artwork Synthesis with Conditional Categorial GANs [arXiv]
  • Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [arXiv]
  • Conditional generative adversarial nets for convolutional face generation [Paper]
  • Conditional Image Synthesis with Auxiliary Classifier GANs [Paper] [arXiv] [Code]
  • Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks [arXiv] [Code] [Blog]
  • Deep multi-scale video prediction beyond mean square error [arXiv] [Code]
  • DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [arXiv] [Code]
  • Full Resolution Image Compression with Recurrent Neural Networks [arXiv]
  • Generate To Adapt: Aligning Domains using Generative Adversarial Networks [arXiv]
  • Generative Adversarial Text to Image Synthesis [arXiv] [Code]
  • Generative Visual Manipulation on the Natural Image Manifold [Project] [Youtube] [Paper] [Code]
  • Image De-raining Using a Conditional Generative Adversarial Network [arXiv]
  • Image Generation and Editing with Variational Info Generative Adversarial Networks [arXiv]
  • Image-to-Image Translation with Conditional Adversarial Networks [arXiv] [Code]
  • Imitating Driver Behavior with Generative Adversarial Networks [arXiv]
  • Invertible Conditional GANs for image editing [arXiv] [Paper]
  • Learning a Driving Simulator [arXiv]
  • Multi-view Generative Adversarial Networks [Paper]
  • Neural Photo Editing with Introspective Adversarial Networks [Paper]
  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [arXiv]
  • Recurrent Topic-Transition GAN for Visual Paragraph Generation [arXiv]
  • RenderGAN: Generating Realistic Labeled Data [arXiv]
  • SeGAN: Segmenting and Generating the Invisible [arXiv]
  • Semantic Segmentation using Adversarial Networks [arXiv]
  • Semi-Latent GAN: Learning to generate and modify facial images from attributes [arXiv]
  • TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [arXiv]
  • Towards Diverse and Natural Image Descriptions via a Conditional GAN [arXiv]
  • Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [arXiv]
  • Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [arXiv]
  • Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery [arXiv]
  • Unsupervised Cross-Domain Image Generation [arXiv]
  • WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [arXiv]

Applied Other

  • Adversarial Training Methods for Semi-Supervised Text Classification [arXiv] [Paper]
  • Learning to Protect Communications with Adversarial Neural Cryptography [arXiv] [Blog]
  • MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [arXiv]
  • Reconstruction of three-dimensional porous media using generative adversarial neural networks [arXiv] [Code]
  • Semi-supervised Learning of Compact Document Representations with Deep Networks [Paper]
  • Steganographic Generative Adversarial Networks [arXiv]

Humor

  • Stopping GAN Violence: Generative Unadversarial Networks [arXiv]

Videos

  • Generative Adversarial Networks by Ian Goodfellow [Video]
  • Tutorial on Generative Adversarial Networks by Mark Chang [Video]

Code

  • Cleverhans: A library for benchmarking vulnerability to adversarial examples [Code] [Blog]
  • Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) [Blog] [Code]
  • Generative Models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow [Code]