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
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]
React
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Microsoft
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