Every week, new GAN,VAE papers are coming out and it's hard to keep track of them all,So, here's a list of what started as a fun activity compiling all named gans,vaes!
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 gan,vae.
- Generative Adversarial Networks: An Overview [arXiv]
- 3D-GAN - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (github)
- 3D-IWGAN - Improved Adversarial Systems for 3D Object Generation and Reconstruction (github)
- 3D-RecGAN - 3D Object Reconstruction from a Single Depth View with Adversarial Learning (github)
- ABC-GAN - ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks (github)
- 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
- AM-GAN - Activation Maximization Generative Adversarial Nets
- AnoGAN - Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
- ARAE - Adversarially Regularized Autoencoders for Generating Discrete Structures (github)
- ARDA - Adversarial Representation Learning for Domain Adaptation
- ARIGAN - ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
- 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
- BGAN - Binary Generative Adversarial Networks for Image Retrieval (github)
- BiGAN - Adversarial Feature Learning
- BS-GAN - Boundary-Seeking Generative Adversarial Networks
- C-RNN-GAN - C-RNN-GAN: Continuous recurrent neural networks with adversarial training (github)
- CaloGAN - CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks (github)
- 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
- CausalGAN - CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
- CC-GAN - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks (github)
- CDcGAN - Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network
- CGAN - Conditional Generative Adversarial Nets
- CGAN - Controllable Generative Adversarial Network
- Chekhov GAN - An Online Learning Approach to Generative Adversarial Networks
- CoGAN - Coupled Generative Adversarial Networks
- Conditional cycleGAN - Conditional CycleGAN for Attribute Guided Face Image Generation
- constrast-GAN - Generative Semantic Manipulation with Contrasting GAN
- Context-RNN-GAN - Contextual RNN-GANs for Abstract Reasoning Diagram Generation
- Coulomb GAN - Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
- Cramèr 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 (github)
- D2GAN - Dual Discriminator Generative Adversarial Nets
- DAN - Distributional Adversarial Networks
- DCGAN - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (github)
- DeliGAN - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data (github)
- DiscoGAN - Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
- DistanceGAN - One-Sided Unsupervised Domain Mapping
- DM-GAN - Dual Motion GAN for Future-Flow Embedded Video Prediction
- DR-GAN - Representation Learning by Rotating Your Faces
- DRAGAN - How to Train Your DRAGAN (github)
- 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
- ED//GAN - Stabilizing Training of Generative Adversarial Networks through Regularization
- EGAN - Enhanced Experience Replay Generation for Efficient Reinforcement Learning
- ExprGAN - ExprGAN: Facial Expression Editing with Controllable Expression Intensity
- 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
- GAMN - Generative Adversarial Mapping Networks
- GAN - Generative Adversarial Networks (github)
- GAN-CLS - Generative Adversarial Text to Image Synthesis (github)
- GAN-sep - GANs for Biological Image Synthesis (github)
- GAN-VFS - Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces
- GANCS - Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
- GAWWN - Learning What and Where to Draw (github)
- GeneGAN - GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data (github)
- 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 (github)
- GRAN - Generating images with recurrent adversarial networks (github)
- IAN - Neural Photo Editing with Introspective Adversarial Networks (github)
- IcGAN - Invertible Conditional GANs for image editing (github)
- ID-CGAN - Image De-raining Using a Conditional Generative Adversarial Network
- iGAN - Generative Visual Manipulation on the Natural Image Manifold (github)
- Improved GAN - Improved Techniques for Training GANs (github)
- InfoGAN - InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (github)
- 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 (github)
- LD-GAN - Linear Discriminant Generative Adversarial Networks
- LDAN - Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
- LeakGAN - Long Text Generation via Adversarial Training with Leaked Information
- LeGAN - Likelihood Estimation for Generative 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
- MD-GAN - Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
- 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 (github)
- MGGAN - Multi-Generator Generative Adversarial Nets
- MIX+GAN - Generalization and Equilibrium in Generative Adversarial Nets (GANs)
- MMD-GAN - MMD GAN: Towards Deeper Understanding of Moment Matching Network (github)
- MMGAN - MMGAN: Manifold Matching Generative Adversarial Network for Generating Images
- MoCoGAN - MoCoGAN: Decomposing Motion and Content for Video Generation (github)
- MPM-GAN - Message Passing Multi-Agent GANs
- MuseGAN - MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks
- MV-BiGAN - Multi-view Generative Adversarial Networks
- OptionGAN - OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
- ORGAN - Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
- PAN - Perceptual Adversarial Networks for Image-to-Image Transformation
- PassGAN - PassGAN: A Deep Learning Approach for Password Guessing
- Perceptual GAN - Perceptual Generative Adversarial Networks for Small Object Detection
- PGAN - Probabilistic Generative Adversarial Networks
- pix2pix - Image-to-Image Translation with Conditional Adversarial Networks (github)
- 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
- RefineGAN - Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks
- RenderGAN - RenderGAN: Generating Realistic Labeled Data
- ResGAN - Generative Adversarial Network based on Resnet for Conditional Image Restoration
- RNN-WGAN - Language Generation with Recurrent Generative Adversarial Networks without Pre-training (github)
- RPGAN - Stabilizing GAN Training with Multiple Random Projections (github)
- RTT-GAN - Recurrent Topic-Transition GAN for Visual Paragraph Generation
- RWGAN - Relaxed Wasserstein with Applications to GANs
- SAD-GAN - SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks
- SalGAN - SalGAN: Visual Saliency Prediction with Generative Adversarial Networks (github)
- 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: Speech Enhancement Generative Adversarial Network
- SeGAN - SeGAN: Segmenting and Generating the Invisible
- SegAN - SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
- SeqGAN - SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient (github)
- SGAN - Texture Synthesis with Spatial Generative Adversarial Networks
- SGAN - Stacked Generative Adversarial Networks (github)
- 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
- SN-GAN - Spectral Normalization for Generative Adversarial Networks (github)
- Softmax-GAN - Softmax GAN
- Splitting GAN - Class-Splitting Generative Adversarial Networks
- SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
- SS-GAN - Semi-supervised Conditional GANs
- 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
- S^2GAN - Generative Image Modeling using Style and Structure Adversarial Networks
- TAC-GAN - TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network (github)
- 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 (github)
- 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 (github)
- VGAN - Generating Videos with Scene Dynamics (github)
- VGAN - Generative Adversarial Networks as Variational Training of Energy Based Models (github)
- ViGAN - Image Generation and Editing with Variational Info Generative Adversarial Networks
- VIGAN - VIGAN: Missing View Imputation with Generative Adversarial Networks
- VRAL - Variance Regularizing Adversarial Learning
- WaterGAN - WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
- WGAN - Wasserstein GAN (github)
- WGAN-GP - Improved Training of Wasserstein GANs (github)
- WS-GAN - Weakly Supervised Generative Adversarial Networks for 3D Reconstruction
- Δ-GAN - Triangle Generative Adversarial Networks
- α-GAN - Variational Approaches for Auto-Encoding Generative Adversarial Networks (github)
- Stopping GAN Violence: Generative Unadversarial Networks [arXiv]
- 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]
- Columbia Advanced Machine Learning Seminar
- 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]
- Generative Adversarial Networks by Ian Goodfellow [Video]
- Tutorial on Generative Adversarial Networks by Mark Chang [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]
- 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]
- Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification [arXiv]
- ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [arXiv]
- ArtGAN: Artwork Synthesis with Conditional Categorial GANs [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]
- 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]
- 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]
- ExprGAN: Facial Expression Editing with Controllable Expression Intensity [arXiv]
- Face Aging With Conditional Generative Adversarial Networks [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]
- 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]
- Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network [arXiv]
- High-Quality Face Image SR Using Conditional Generative 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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 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]
- The Conditional Analogy GAN: Swapping Fashion Articles on People Images [arXiv]
- 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]
- 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 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]
- Adversarial Generation of Natural Language [arXiv]
- Adversarial Ranking for Language Generation [arXiv]
- Adversarial Training Methods for Semi-Supervised Text Classification [arXiv] [Paper]
- 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]
- VAE - Vanilla VAE
- VAE - Conditional VAE
- VAE - Denoising VAE
- VAE - Adversarial Autoencoder
- VAE - Generating Sentences From a Continuous Spaces
- VAE - Neural Variational Inference for Text Processing
- VAE - A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
- VAE - Language as a Latent Variable: Discrete Generative Models for Sentence Compression
- VAE - Adversarial Variational Bayes
- Install miniconda http://conda.pydata.org/miniconda.html
- Do
conda env create
- Enter the env
source activate generative-models
- Install Tensorflow
- Install Pytorch