Every week, new GAN papers are coming out and it's hard to keep track of them all, not to mention the incredibly creative ways in which researchers are naming these GANs! So, here's a list of what started as a fun activity compiling all named GANs!

You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title here.

Contributions are welcome. Add links through pull requests or create an issue to lemme know something I missed or to start a discussion.

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• 3D-GAN - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
• AC-GAN - Conditional Image Synthesis With Auxiliary Classifier GANs
• acGAN - Face Aging With Conditional Generative Adversarial Networks
• AdaGAN - AdaGAN: Boosting Generative Models
• AE-GAN - AE-GAN: adversarial eliminating with GAN
• AEGAN - Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets
• AffGAN - Amortised MAP Inference for Image Super-resolution
• AL-CGAN - Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
• ALI - Adversarially Learned Inference
• AlignGAN - AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks
• α-GAN - Variational Approaches for Auto-Encoding Generative Adversarial Networks
• AM-GAN - Generative Adversarial Nets with Labeled Data by Activation Maximization
• AnoGAN - Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
• ARAE - Adversarially Regularized Autoencoders for Generating Discrete Structures
• ARDA - Adversarial Representation Learning for Domain Adaptation
• ArtGAN - ArtGAN: Artwork Synthesis with Conditional Categorial GANs
• b-GAN - Generative Adversarial Nets from a Density Ratio Estimation Perspective
• Bayesian GAN - Deep and Hierarchical Implicit Models
• Bayesian GAN - Bayesian GAN
• BCGAN - Bayesian Conditional Generative Adverserial Networks
• BEGAN - BEGAN: Boundary Equilibrium Generative Adversarial Networks
• BiGAN - Adversarial Feature Learning
• BS-GAN - Boundary-Seeking Generative Adversarial Networks
• C-RNN-GAN - C-RNN-GAN: Continuous recurrent neural networks with adversarial training
• CaloGAN - CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
• CAN - CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
• CatGAN - Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
• CC-GAN - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
• CGAN - Conditional Generative Adversarial Nets
• Chekhov GAN - An Online Learning Approach to Generative Adversarial Networks
• CoGAN - Coupled Generative Adversarial Networks
• Context-RNN-GAN - Contextual RNN-GANs for Abstract Reasoning Diagram Generation
• Cramér GAN - The Cramer Distance as a Solution to Biased Wasserstein Gradients
• crVAE-GAN - Channel-Recurrent Variational Autoencoders
• CS-GAN - Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
• CVAE-GAN - CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
• CycleGAN - Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
• Conditional CycleGAN - Conditional CycleGAN for Attribute Guided Face Image Generation
• DAN - Distributional Adversarial Networks
• DCGAN - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
• DeLiGAN - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
• DiscoGAN - Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
• DistanceGAN - One-Sided Unsupervised Domain Mapping
• DR-GAN - Representation Learning by Rotating Your Faces
• DRAGAN - How to Train Your DRAGAN
• DSP-GAN - Depth Structure Preserving Scene Image Generation
• DTN - Unsupervised Cross-Domain Image Generation
• DualGAN - DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
• Dualing GAN - Dualing GANs
• EBGAN - Energy-based Generative Adversarial Network
• EGAN - Enhanced Experience Replay Generation for Efficient Reinforcement Learning
• f-GAN - f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
• FF-GAN - Towards Large-Pose Face Frontalization in the Wild
• Fila-GAN - Synthesizing Filamentary Structured Images with GANs
• Fisher GAN - Fisher GAN
• Flow-GAN Flow-GAN: Bridging implicit and prescribed learning in generative models
• GAN - Generative Adversarial Networks
• GANCS - Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
• GAWWN - Learning What and Where to Draw
• GeneGAN - GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
• Geometric GAN - Geometric GAN
• GMAN - Generative Multi-Adversarial Networks
• GMM-GAN - Towards Understanding the Dynamics of Generative Adversarial Networks
• GoGAN - Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
• GP-GAN - GP-GAN: Towards Realistic High-Resolution Image Blending
• GRAN - Generating images with recurrent adversarial networks
• IAN - Neural Photo Editing with Introspective Adversarial Networks
• IcGAN - Invertible Conditional GANs for image editing
• ID-CGAN - Image De-raining Using a Conditional Generative Adversarial Network
• iGAN - Generative Visual Manipulation on the Natural Image Manifold
• Improved GAN - Improved Techniques for Training GANs
• InfoGAN - InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
• IRGAN - IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
• IWGAN - On Unifying Deep Generative Models
• l-GAN - Representation Learning and Adversarial Generation of 3D Point Clouds
• LAGAN - Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis
• LAPGAN - Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
• LR-GAN - LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
• LS-GAN - Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
• LSGAN - Least Squares Generative Adversarial Networks
• MAD-GAN - Multi-Agent Diverse Generative Adversarial Networks
• MAGAN - MAGAN: Margin Adaptation for Generative Adversarial Networks
• MalGAN - Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
• MaliGAN - Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
• MARTA-GAN - Deep Unsupervised Representation Learning for Remote Sensing Images
• McGAN - McGan: Mean and Covariance Feature Matching GAN
• MDGAN - Mode Regularized Generative Adversarial Networks
• MedGAN - Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks
• MGAN - Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
• MIX+GAN - Generalization and Equilibrium in Generative Adversarial Nets (GANs)
• MMD-GAN - MMD GAN: Towards Deeper Understanding of Moment Matching Network
• MoCoGAN - MoCoGAN: Decomposing Motion and Content for Video Generation
• MPM-GAN - Message Passing Multi-Agent GANs
• MV-BiGAN - Multi-view Generative Adversarial Networks
• ORGAN - Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
• PAN - Perceptual Adversarial Networks for Image-to-Image Transformation
• Perceptual GAN - Perceptual Generative Adversarial Networks for Small Object Detection
• pix2pix - Image-to-Image Translation with Conditional Adversarial Networks
• PixelGAN - PixelGAN Autoencoders
• Pose-GAN - The Pose Knows: Video Forecasting by Generating Pose Futures
• PPGN - Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
• PrGAN - 3D Shape Induction from 2D Views of Multiple Objects
• PSGAN - Learning Texture Manifolds with the Periodic Spatial GAN
• RankGAN - Adversarial Ranking for Language Generation
• RCGAN - Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
• RenderGAN - RenderGAN: Generating Realistic Labeled Data
• ResGAN - Generative Adversarial Network based on Resnet for Conditional Image Restoration
• RPGAN - Stabilizing GAN Training with Multiple Random Projections
• RNN-WGAN - Language Generation with Recurrent Generative Adversarial Networks without Pre-training
• RTT-GAN - Recurrent Topic-Transition GAN for Visual Paragraph Generation
• RWGAN - Relaxed Wasserstein with Applications to GANs
• S^2GAN - Generative Image Modeling using Style and Structure Adversarial Networks
• SAD-GAN - SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks
• SalGAN - SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
• SBADA-GAN - From source to target and back: symmetric bi-directional adaptive GAN
• SD-GAN - Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
• SegAN - SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
• SeGAN - SeGAN: Segmenting and Generating the Invisible
• SEGAN - SEGAN: Speech Enhancement Generative Adversarial Network
• SeqGAN - SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
• SGAN - Stacked Generative Adversarial Networks
• SGAN - Texture Synthesis with Spatial Generative Adversarial Networks
• SGAN - Steganographic Generative Adversarial Networks
• SimGAN - Learning from Simulated and Unsupervised Images through Adversarial Training
• SketchGAN - Adversarial Training For Sketch Retrieval
• SL-GAN - Semi-Latent GAN: Learning to generate and modify facial images from attributes
• Softmax-GAN - Softmax GAN
• SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
• ss-InfoGAN - Guiding InfoGAN with Semi-Supervision
• SSGAN - SSGAN: Secure Steganography Based on Generative Adversarial Networks
• SSL-GAN - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
• ST-GAN - Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently
• StackGAN - StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
• SteinGAN - Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
• TAC-GAN - TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network
• TAN - Outline Colorization through Tandem Adversarial Networks
• TextureGAN - TextureGAN: Controlling Deep Image Synthesis with Texture Patches
• TGAN - Temporal Generative Adversarial Nets
• TP-GAN - Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
• Triple-GAN - Triple Generative Adversarial Nets
• Unrolled GAN - Unrolled Generative Adversarial Networks
• VAE-GAN - Autoencoding beyond pixels using a learned similarity metric
• VariGAN - Multi-View Image Generation from a Single-View
• VAW-GAN - Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks
• VEEGAN - VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
• VGAN - Generating Videos with Scene Dynamics
• VGAN - Generative Adversarial Networks as Variational Training of Energy Based Models
• ViGAN - Image Generation and Editing with Variational Info Generative Adversarial Networks
• WaterGAN - WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
• WGAN - Wasserstein GAN
• WGAN-GP - Improved Training of Wasserstein GANs
• WS-GAN - Weakly Supervised Generative Adversarial Networks for 3D Reconstruction