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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 or visit 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.



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

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]


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


  • 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]


  • 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]



  • 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 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]


  • Stopping GAN Violence: Generative Unadversarial Networks [arXiv]


A list of papers on Generative Adversarial (Neural) Networks



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