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.

Recommendations
Workshops
Tutorials & Workshops & Blogs
Videos
Code
Papers

Recommendations

Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [arXiv]
Pose Guided Person Image Generation [arXiv]
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [arXiv]

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 some results from the paper Conditional Generative Adversarial Nets in 100 lines of PyTorch code [Code]
Reproduction of some results from the paper Improved Techniques for Training GANs in 100 lines of PyTorch code [Code]
Reproduction of some results from the paper Least Squares Generative Adversarial Networks 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]

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