Awesome

really-awesome-gan

A list of papers and other resources on Generative 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.

NOTE: Despite the enormous interest in this cite (~3000 visitors per month), I will no longer add new papers starting from November 2017. I feel that GANs have come from an exotic topic to the mainstream and an exhaustive list of all GAN papers is no more feasible or useful. However, I invite other people to continue this effort and reuse my list.

Contents

• Recommendations
• Workshops
• Tutorials & Workshops & Blogs
• Videos
• Code
• Papers
  • Overview
  • Theory & Machine Learning
  • Applied Vision
  • Applied Other
  • Humor

Recommendations

Tutorials & Workshops & Blogs

• Columbia Advanced Machine Learning Seminar
  • New Progress on GAN Theory and Practice [Blog]
  • Implicit Generative Models — What are you GAN-na do? [Blog]
• How to Train a GAN? Tips and tricks to make GANs work [Blog]
• NIPS 2016 Tutorial: Generative Adversarial Networks [arXiv]
• NIPS 2016 Workshop on Adversarial Training [Web] [Blog]
• 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]
• Deep Diving into GANs: from theory to production (EuroScipy 2018) [GitHub]

Books

• GANs in Action: Deep learning with Generative Adversarial Networks [Book]

Videos

• Generative Adversarial Networks by Ian Goodfellow [Video]
• Tutorial on Generative Adversarial Networks by Mark Chang [Video]
• Deep Diving into GANs: From Theory to Production (EuroSciPy 2018) by Michele De Simoni, Paolo Galeone [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]
• Reproduction of the GANs paper (MNIST) in 100 lines of PyTorch code [Blog] [Code]
• Reproduction of results from the paper Conditional Generative Adversarial Nets in 100 lines of PyTorch code [Code]
• Reproduction of results from the paper Improved Techniques for Training GANs in 100 lines of PyTorch code [Code]
• Reproduction of results from the LSGAN paper in 100 lines of PyTorch code [Code]
• Reproduction of results from the WGAN paper in 100 lines of PyTorch code [Code]
• Reproduction of results from the pix2pix paper in 100 lines of PyTorch code [Code]

Papers

Overview

• Generative Adversarial Networks: An Overview [arXiv]

Theory & Machine Learning

• A Classification-Based Perspective on GAN Distributions [arXiv]
• A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [arXiv]
• A General Retraining Framework for Scalable Adversarial Classification [Paper]
• Activation Maximization Generative Adversarial Nets [arXiv]
• AdaGAN: Boosting Generative Models [arXiv]
• Adversarial Autoencoders [arXiv]
• Adversarial Discriminative Domain Adaptation [arXiv]
• Adversarial Generator-Encoder Networks [arXiv]
• Adversarial Feature Learning [arXiv] [Code]
• Adversarially Learned Inference [arXiv] [Code]
• AE-GAN: adversarial eliminating with GAN [arXiv]
• An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [arXiv]
• APE-GAN: Adversarial Perturbation Elimination with GAN [arXiv]
• Associative Adversarial Networks [arXiv]
• Autoencoding beyond pixels using a learned similarity metric [arXiv]
• Bayesian Conditional Generative Adverserial Networks [arXiv]
• Bayesian GAN [arXiv]
• BEGAN: Boundary Equilibrium Generative Adversarial Networks [Paper] [arXiv] [Code]
• Binary Generative Adversarial Networks for Image Retrieval [arXiv]
• Boundary-Seeking Generative Adversarial Networks [arXiv] [Code]
• CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training [arXiv]
• Class-Splitting Generative Adversarial Networks [arXiv]
• Comparison of Maximum Likelihood and GAN-based training of Real NVPs [arXiv]
• Conditional CycleGAN for Attribute Guided Face Image Generation [arXiv]
• Conditional Generative Adversarial Nets [arXiv] [Code]
• Connecting Generative Adversarial Networks and Actor-Critic Methods [Paper]
• Continual Learning in Generative Adversarial Nets [arXiv]
• C-RNN-GAN: Continuous recurrent neural networks with adversarial training [arXiv]
• CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning [arXiv]
• Cooperative Training of Descriptor and Generator Networks [arXiv]
• Coupled Generative Adversarial Networks [arXiv] [Code]
• Dualing GANs [arXiv]
• Deep and Hierarchical Implicit Models [arXiv]
• Energy-based Generative Adversarial Network [arXiv] [Code]
• Explaining and Harnessing Adversarial Examples [arXiv]
• Flow-GAN: Bridging implicit and prescribed learning in generative models [arXiv]
• f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [arXiv] [Code]
• Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking [arXiv]
• Generalization and Equilibrium in Generative Adversarial Nets (GANs) [arXiv]
• Generating images with recurrent adversarial networks [arXiv]
• Generative Adversarial Networks [arXiv] [Code] [Code]
• Generative Adversarial Networks as Variational Training of Energy Based Models [arXiv]
• Generative Adversarial Networks with Inverse Transformation Unit [arXiv]
• Generative Adversarial Parallelization [arXiv] [Code]
• Generative Adversarial Residual Pairwise Networks for One Shot Learning [arXiv]
• Generative Adversarial Structured Networks [Paper]
• Generative Cooperative Net for Image Generation and Data Augmentation [arXiv]
• Generative Moment Matching Networks [arXiv] [Code]
• Generative Semantic Manipulation with Contrasting GAN [arXiv]
• Geometric GAN [arXiv]
• Good Semi-supervised Learning that Requires a Bad GAN [arXiv]
• Gradient descent GAN optimization is locally stable [arXiv]
• How to Train Your DRAGAN [arXiv]
• Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks [arXiv]
• Improved Semi-supervised Learning with GANs using Manifold Invariances [arXiv]
• 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]
• It Takes (Only) Two: Adversarial Generator-Encoder Networks [arXiv]
• KGAN: How to Break The Minimax Game in GAN [arXiv]
• Learning in Implicit Generative Models [Paper]
• Learning Loss for Knowledge Distillation with Conditional Adversarial Networks [arXiv]
• Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv] [Code]
• Learning Texture Manifolds with the Periodic Spatial GAN [arXiv]
• Least Squares Generative Adversarial Networks [arXiv] [Code]
• Linking Generative Adversarial Learning and Binary Classification [arXiv]
• 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]
• McGan: Mean and Covariance Feature Matching GAN [arXiv]
• Message Passing Multi-Agent GANs [arXiv]
• MMD GAN: Towards Deeper Understanding of Moment Matching Network [arXiv]
• Mode Regularized Generative Adversarial Networks [arXiv] [Code]
• Multi-Agent Diverse Generative Adversarial Networks [arXiv]
• Multi-Generator Gernerative Adversarial Nets [arXiv]
• Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models [arXiv]
• On Convergence and Stability of GANs [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]
• Optimizing the Latent Space of Generative Networks [arXiv]
• Parametrizing filters of a CNN with a GAN [arXiv]
• PixelGAN Autoencoders [arXiv]
• Progressive Growing of GANs for Improved Quality, Stability, and Variation [arXiv] [Code]
• SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [arXiv]
• SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [arXiv]
• Simple Black-Box Adversarial Perturbations for Deep Networks [Paper]
• Softmax GAN [arXiv]
• Stabilizing Training of Generative Adversarial Networks through Regularization [arXiv]
• Stacked Generative Adversarial Networks [arXiv]
• Statistics of Deep Generated Images [arXiv]
• Structured Generative Adversarial Networks [arXiv]
• Tensorizing Generative Adversarial Nets [arXiv]
• The Cramer Distance as a Solution to Biased Wasserstein Gradients [arXiv]
• Towards Understanding Adversarial Learning for Joint Distribution Matching [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

• 3D Object Reconstruction from a Single Depth View with Adversarial Learning [arXiv]
• 3D Shape Induction from 2D Views of Multiple Objects [arXiv]
• A step towards procedural terrain generation with GANs [arXiv] [Code]
• Abnormal Event Detection in Videos using Generative Adversarial Nets [arXiv]
• Adversarial Generation of Training Examples for Vehicle License Plate Recognition [arXiv]
• Adversarial nets with perceptual losses for text-to-image synthesis [arXiv]
• Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB [arXiv]
• Adversarial Networks for the Detection of Aggressive Prostate Cancer [arXiv]
• Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation [arXiv]
• Adversarial Training For Sketch Retrieval [arXiv]
• Aesthetic-Driven Image Enhancement by Adversarial Learning [arXiv]
• Age Progression / Regression by Conditional Adversarial Autoencoder [arXiv]
• AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks [arXiv]
• Amortised MAP Inference for Image Super-resolution [arXiv]
• Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network [arXiv] [Code]
• A Novel Approach to Artistic Textual Visualization via GAN [arXiv]
• Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification [arXiv]
• Arbitrary Facial Attribute Editing: Only Change What You Want [arXiv] [Code]
• ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [arXiv]
• ArtGAN: Artwork Synthesis with Conditional Categorial GANs [arXiv]
• Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data [arXiv]
• Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis [arXiv]
• Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks [arXiv]
• Automatic Liver Segmentation Using an Adversarial Image-to-Image Network [arXiv]
• Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [arXiv]
• CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms [arXiv]
• CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition [arXiv] [Code]
• Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks [arXiv]
• Conditional Adversarial Network for Semantic Segmentation of Brain Tumor [arXiv]
• Conditional generative adversarial nets for convolutional face generation [Paper]
• Conditional Image Synthesis with Auxiliary Classifier GANs [Paper] [arXiv] [Code]
• Contextual RNN-GANs for Abstract Reasoning Diagram Generation [arXiv]
• Controllable Generative Adversarial Network [arXiv]
• Creatism: A deep-learning photographer capable of creating professional work [arXiv]
• Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation [arXiv]
• CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training [arXiv]
• Data Augmentation in Classification using GAN [arXiv]
• Deep Generative Adversarial Compression Artifact Removal [arXiv]
• Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI [arXiv]
• Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis [arXiv]
• 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]
• Deep Unsupervised Representation Learning for Remote Sensing Images [arXiv]
• DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [arXiv]
• Depth Structure Preserving Scene Image Generation [arXiv]
• DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [arXiv] [Code]
• Dual Motion GAN for Future-Flow Embedded Video Prediction [arXiv]
• Efficient Super Resolution For Large-Scale Images Using Attentional GAN [arXiv] [Thesis] [Thesis]
• ExprGAN: Facial Expression Editing with Controllable Expression Intensity [arXiv]
• Face Aging With Conditional Generative Adversarial Networks [arXiv]
• Face Transfer with Generative Adversarial Network [arXiv]
• Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets [arXiv]
• Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks [arXiv]
• From source to target and back: symmetric bi-directional adaptive GAN [arXiv]
• Full Resolution Image Compression with Recurrent Neural Networks [arXiv]
• GANs for Biological Image Synthesis [arXiv]
• GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data [arXiv] [Code]
• Generate Identity-Preserving Faces by Generative Adversarial Networks [arXiv]
• Generate To Adapt: Aligning Domains using Generative Adversarial Networks [arXiv]
• Generative Adversarial Graph Convolutional Networks for Human Action Synthesis [arXiv] [Code]
• Generative Adversarial Models for People Attribute Recognition in Surveillance [arXiv]
• Generative Adversarial Network based on Resnet for Conditional Image Restoration [arxiv]
• Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces [arXiv]
• Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking [arXiv]
• Generative Adversarial Text to Image Synthesis [arXiv] [Code]
• Generative Visual Manipulation on the Natural Image Manifold [Project] [Youtube] [Paper] [Code]
• Global-to-Local Generative Model for 3D Shapes [Project][Code]
• GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks [arXiv]
• GP-GAN: Towards Realistic High-Resolution Image Blending [arXiv]
• Guiding InfoGAN with Semi-Supervision [arXiv]
• How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis [arXiv]
• Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network [arXiv]
• High-Quality Face Image SR Using Conditional Generative Adversarial Networks [arXiv]
• High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks [arXiv]
• 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]
• Improved Adversarial Systems for 3D Object Generation and Reconstruction [arXiv] [Code]
• Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [arXiv]
• Improving image generative models with human interactions [arXiv]
• Imitating Driver Behavior with Generative Adversarial Networks [arXiv]
• Interactive 3D Modeling with a Generative Adversarial Network [arXiv]
• Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks [arXiv]
• Invertible Conditional GANs for image editing [arXiv] [Paper]
• Joint Discriminative and Generative Learning for Person Re-identification [Project] [Paper] [YouTube] [Bilibili] [Poster] [Code]
• Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images [arXiv]
• Learning a Driving Simulator [arXiv]
• Learning a Generative Adversarial Network for High Resolution Artwork Synthesis [arXiv]
• Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling [arXiv]
• Learning from Simulated and Unsupervised Images through Adversarial Training [arXiv]
• Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv]
• Learning to Generate Chairs with Generative Adversarial Nets [arXiv]
• Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks [arXiv]
• Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [arXiv]
• MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification [arXiv]
• Megapixel Size Image Creation using Generative Adversarial Networks [arXiv]
• Microscopy Cell Segmentation via Adversarial Neural Networks [arXiv]
• MoCoGAN: Decomposing Motion and Content for Video Generation [arXiv]
• Multi-view Generative Adversarial Networks [Paper]
• Neural Photo Editing with Introspective Adversarial Networks [Paper] [arXiv]
• Neural Stain-Style Transfer Learning using GAN for Histopathological Images [arXiv]
• Outline Colorization through Tandem Adversarial Networks [arXiv]
• Perceptual Adversarial Networks for Image-to-Image Transformation [arXiv]
• Perceptual Generative Adversarial Networks for Small Object Detection [arXiv]
• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [arXiv]
• Pose Guided Person Image Generation [arXiv]
• Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks [arXiv]
• Recurrent Topic-Transition GAN for Visual Paragraph Generation [arXiv]
• RenderGAN: Generating Realistic Labeled Data [arXiv]
• Representation Learning and Adversarial Generation of 3D Point Clouds [arXiv]
• Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution [arXiv]
• Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [arXiv]
• SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks [arXiv]
• SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [arXiv]
• SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [arXiv]
• SeGAN: Segmenting and Generating the Invisible [arXiv]
• Semantic Image Inpainting with Deep Generative Models [arXiv]
• EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning [arXiv] [Code]
• Semantic Image Synthesis via Adversarial Learning [arXiv]
• Semantic Segmentation using Adversarial Networks [arXiv]
• Semantically Decomposing the Latent Spaces of Generative Adversarial Networks [arXiv]
• Semi-Latent GAN: Learning to generate and modify facial images from attributes [arXiv]
• Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks [arXiv]
• Sharpness-aware Low dose CT denoising using conditional generative adversarial network [arXiv]
• Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network [arXiv]
• SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning [arXiv] [Code]
• Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning [arXiv]
• StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [arXiv]
• StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [arXiv]
• Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN [arXiv]
• Supervised Adversarial Networks for Image Saliency Detection [arXiv]
• Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) [arXiv]
• Synthesizing Filamentary Structured Images with GANs [arXiv]
• Synthetic Iris Presentation Attack using iDCGAN [arXiv]
• Synthetic Medical Images from Dual Generative Adversarial Networks [arXiv]
• TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [arXiv]
• Temporal Generative Adversarial Nets with Singular Value Clipping [arXiv]
• TextureGAN: Controlling Deep Image Synthesis with Texture Patches [arXiv]
• Texture Synthesis with Spatial Generative Adversarial Networks [arXiv] [Code]
• Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language [arXiv] [Code]
• The Conditional Analogy GAN: Swapping Fashion Articles on People Images [arXiv]
• TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation [Paper]
• TopoGAN: A Topology-Aware Generative Adversarial Network [Paper]
• Towards Adversarial Retinal Image Synthesis [arXiv] [Code] [Demo]
• Towards Diverse and Natural Image Descriptions via a Conditional GAN [arXiv]
• Towards the Automatic Anime Characters Creation with Generative Adversarial Networks [arXiv]
• UGAN: Enhancing Underwater Imagery using Generative Adversarial Networks [arXiv]
• Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [arXiv][Code]
• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [arXiv]
• Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks [arXiv]
• Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery [arXiv]
• Unsupervised Cross-Domain Image Generation [arXiv]
• Unsupervised Diverse Colorization via Generative Adversarial Networks [arXiv]
• Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks [arXiv]
• Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks [arXiv]
• VIGAN: Missing View Imputation with Generative Adversarial Networks [arXiv]
• WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [arXiv]
• Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [arXiv]
• [TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks] [scholar] [arXiv]

Applied Other

• Adversarial Generation of Natural Language [arXiv]
• Adversarial Ranking for Language Generation [arXiv]
• Adversarial Training Methods for Semi-Supervised Text Classification [arXiv] [Paper]
• A Generative Model for Volume Rendering [[arXiv]](A Generative Model for Volume Rendering)
• ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? [arXiv]
• Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN [arXiv]
• Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks [arXiv]
• Language Generation with Recurrent Generative Adversarial Networks without Pre-training [arXiv]
• Learning to Protect Communications with Adversarial Neural Cryptography [arXiv] [Blog]
• Long Text Generation via Adversarial Training with Leaked Information [arXiv]
• MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [arXiv]
• MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks [arXiv]
• Reconstruction of three-dimensional porous media using generative adversarial neural networks [arXiv] [Code]
• SEGAN: Speech Enhancement Generative Adversarial Network [arXiv]
• Semi-supervised Learning of Compact Document Representations with Deep Networks [Paper]
• SSGAN: Secure Steganography Based on Generative Adversarial Networks [arXiv]
• Steganographic Generative Adversarial Networks [arXiv]
• Towards Grounding Conceptual Spaces in Neural Representations [arXiv]

Humor

• Stopping GAN Violence: Generative Unadversarial Networks [arXiv]