📋 Papers (Descending order based on Google Scholar Citations)
| S/N | Paper | Year | Citations |
|---|---|---|---|
| 1 | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGANs) [pdf] | 2015 | 1534 |
| 2 | Explaining and Harnessing Adversarial Examples [pdf] | 2014 | 895 |
| 3 | Improved Techniques for Training GANs [pdf] | 2016 | 748 |
| 4 | 📈 Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) [pdf] | 2016 | 706 |
| 5 | 📈 Wasserstein GAN (WGAN) [pdf] | 2017 | 587 |
| 6 | 📈 Conditional Generative Adversarial Nets (CGAN) [pdf] | 2014 | 566 |
| 7 | Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (LAPGAN) [pdf] | 2015 | 564 |
| 8 | 📈 Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (SRGAN) [pdf] | 2016 | 549 |
| 9 | Semi-Supervised Learning with Deep Generative Models [pdf] | 2014 | 494 |
| 10 | 📈 Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN) [pdf] | 2017 | 438 |
| 11 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [pdf] | 2016 | 394 |
| 12 | Context Encoders: Feature Learning by Inpainting [pdf] | 2016 | 390 |
| 13 | Generative Adversarial Text to Image Synthesis [pdf] | 2016 | 368 |
| 14 | 📈 Improved Training of Wasserstein GANs (WGAN-GP) [pdf] | 2017 | 331 |
| 15 | Deep multi-scale video prediction beyond mean square error [pdf] | 2015 | 301 |
| 16 | Adversarial Autoencoders [pdf] | 2015 | 277 |
| 17 | Energy-based Generative Adversarial Network (EBGAN) [pdf] | 2016 | 238 |
| 18 | Autoencoding beyond pixels using a learned similarity metric (VAE-GAN) [pdf] | 2015 | 233 |
| 19 | 📈 Conditional Image Generation with PixelCNN Decoders [pdf] | 2015 | 231 |
| 20 | Towards Principled Methods for Training Generative Adversarial Networks [pdf] | 2017 | 229 |
| 21 | Adversarial Feature Learning (BiGAN) [pdf] | 2016 | 224 |
| 22 | 📈 Stacked Generative Adversarial Networks (SGAN) [pdf] | 2016 | 215 |
| 23 | 📈 StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [pdf] | 2017 | 214 |
| 24 | Adversarially Learned Inference (ALI) [pdf] | 2016 | 211 |
| 25 | 📈 Conditional Image Synthesis with Auxiliary Classifier GANs (AC-GAN) [pdf] | 2016 | 202 |
| 26 | 📈 Learning from Simulated and Unsupervised Images through Adversarial Training (SimGAN) by Apple [pdf] | 2016 | 192 |
| 27 | f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [pdf] | 2016 | 186 |
| 28 | Generating Videos with Scene Dynamics (VGAN) [pdf] | 2016 | 179 |
| 29 | Generative Visual Manipulation on the Natural Image Manifold (iGAN) [pdf] | 2016 | 172 |
| 30 | 📈 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (3D-GAN) [pdf] | 2016 | 171 |
| 31 | Generative Moment Matching Networks [pdf] | 2015 | 167 |
| 32 | 📈 Coupled Generative Adversarial Networks (CoGAN) [pdf] | 2016 | 162 |
| 33 | 📈 BEGAN: Boundary Equilibrium Generative Adversarial Networks [pdf] | 2017 | 162 |
| 34 | Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples [pdf] | 2016 | 161 |
| 35 | Generating Images with Perceptual Similarity Metrics based on Deep Networks [pdf] | 2016 | 151 |
| 36 | 📈 Improving Variational Inference with Inverse Autoregressive Flow [pdf] | 2016 | 150 |
| 37 | Unsupervised Learning for Physical Interaction through Video Prediction [pdf] | 2016 | 146 |
| 38 | Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks (CatGAN) [pdf] | 2015 | 141 |
| 39 | Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (DiscoGAN) [pdf] | 2017 | 135 |
| 40 | Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks (MGAN) [pdf] | 2016 | 130 |
| 41 | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [pdf] | 2016 | 125 |
| 42 | Generative Adversarial Imitation Learning [pdf] | 2016 | 123 |
| 43 | 📈 Adversarial Discriminative Domain Adaptation [pdf] | 2017 | 123 |
| 44 | Generative Image Modeling using Style and Structure Adversarial Networks (S^2GAN) [pdf] | 2016 | 121 |
| 45 | Unsupervised Cross-Domain Image Generation (DTN) [pdf] | 2016 | 116 |
| 46 | Synthesizing the preferred inputs for neurons in neural networks via deep generator networks [pdf] | 2016 | 99 |
| 47 | Least Squares Generative Adversarial Networks (LSGAN) [pdf] | 2016 | 98 |
| 48 | Semantic Image Inpainting with Perceptual and Contextual Losses [pdf] | 2016 | 98 |
| 49 | Conditional generative adversarial nets for convolutional face generation [pdf] | 2014 | 95 |
| 50 | StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [pdf] | 2016 | 90 |
| 51 | Mode Regularized Generative Adversarial Networks [pdf] | 2016 | 89 |
| 52 | Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [pdf] | 2017 | 87 |
| 53 | Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space (PPGN) [pdf] | 2016 | 85 |
| 54 | DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [pdf] | 2017 | 85 |
| 55 | Training generative neural networks via Maximum Mean Discrepancy optimization [pdf] | 2015 | 82 |
| 56 | Generating images with recurrent adversarial networks [pdf] | 2016 | 81 |
| 57 | Semantic Segmentation using Adversarial Networks [pdf] | 2016 | 81 |
| 58 | Learning What and Where to Draw (GAWWN) [pdf] | 2016 | 77 |
| 59 | Amortised MAP Inference for Image Super-resolution (AffGAN) [pdf] | 2016 | 75 |
| 60 | Generalization and Equilibrium in Generative Adversarial Nets (GANs) [pdf] | 2017 | 74 |
| 61 | VIME: Variational Information Maximizing Exploration [pdf] | 2016 | 70 |
| 62 | Disentangled Representation Learning GAN for Pose-Invariant Face Recognition [pdf] | 2017 | 70 |
| 63 | Neural Photo Editing with Introspective Adversarial Networks (IAN) [pdf] | 2016 | 63 |
| 64 | Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks [pdf] | 2017 | 63 |
| 65 | Learning in Implicit Generative Models [pdf] | 2016 | 62 |
| 66 | Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis (TP-GAN) [pdf] | 2017 | 60 |
| 67 | On the Quantitative Analysis of Decoder-Based Generative Models [pdf] | 2016 | 59 |
| 68 | Invertible Conditional GANs for image editing (IcGAN) [pdf] | 2016 | 57 |
| 69 | Unrolled Generative Adversarial Networks (Unrolled GAN) [pdf] | 2016 | 56 |
| 70 | Attend, infer, repeat: Fast scene understanding with generative models [pdf] | 2016 | 55 |
| 71 | Pixel-Level Domain Transfer [pdf] | 2016 | 54 |
| 72 | SEGAN: Speech Enhancement Generative Adversarial Network [pdf] | 2017 | 45 |
| 73 | MMD GAN: Towards Deeper Understanding of Moment Matching Network [pdf] | 2017 | 42 |
| 74 | Learning a Driving Simulator [pdf] | 2016 | 41 |
| 75 | Image De-raining Using a Conditional Generative Adversarial Network (ID-CGAN) [pdf] | 2017 | 40 |
| 76 | Face Aging With Conditional Generative Adversarial Networks [pdf] | 2017 | 39 |
| 77 | 📈 Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (AnoGAN) [pdf] | 2017 | 39 |
| 78 | Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities (LS-GAN) [pdf] | 2017 | 38 |
| 79 | Adversarial Attacks on Neural Network Policies [pdf] | 2017 | 37 |
| 80 | AdaGAN: Boosting Generative Models [pdf] | 2017 | 37 |
| 81 | Triple Generative Adversarial Nets (Triple-GAN) [pdf] | 2017 | 37 |
| 82 | Semantic Image Inpainting with Deep Generative Models [pdf] | 2017 | 37 |
| 83 | A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection [pdf] | 2017 | 36 |
| 84 | Adversarial Examples for Semantic Segmentation and Object Detection [pdf] | 2017 | 35 |
| 85 | Generative face completion [pdf] | 2016 | 34 |
| 86 | Age Progression / Regression by Conditional Adversarial Autoencoder [pdf] | 2017 | 32 |
| 87 | The Space of Transferable Adversarial Examples [pdf] | 2017 | 32 |
| 88 | Learning to Protect Communications with Adversarial Neural Cryptography [pdf] | 2016 | 31 |
| 89 | Perceptual Generative Adversarial Networks for Small Object Detection [pdf] | 2017 | 30 |
| 90 | Temporal Generative Adversarial Nets (TGAN) [pdf] | 2016 | 29 |
| 91 | Towards Large-Pose Face Frontalization in the Wild [pdf] | 2016 | 29 |
| 92 | Boundary-Seeking Generative Adversarial Networks (BS-GAN) [pdf] | 2017 | 28 |
| 93 | McGan: Mean and Covariance Feature Matching GAN [pdf] | 2017 | 28 |
| 94 | The Cramer Distance as a Solution to Biased Wasserstein Gradients [pdf] | 2017 | 28 |
| 95 | SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [pdf] | 2016 | 28 |
| 96 | MoCoGAN: Decomposing Motion and Content for Video Generation [pdf] | 2017 | 27 |
| 97 | Imitating Driver Behavior with Generative Adversarial Networks [pdf] | 2017 | 27 |
| 98 | A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [pdf] | 2016 | 26 |
| 99 | Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN (MalGAN) [pdf] | 2016 | 26 |
| 100 | Maximum-Likelihood Augmented Discrete Generative Adversarial Networks [pdf] | 2017 | 26 |
| 101 | Neural Face Editing with Intrinsic Image Disentangling [pdf] | 2017 | 26 |
| 102 | Pose Guided Person Image Generation [pdf] | 2017 | 26 |
| 103 | Good Semi-supervised Learning that Requires a Bad GAN [pdf] | 2017 | 25 |
| 104 | Connecting Generative Adversarial Networks and Actor-Critic Methods [pdf] | 2016 | 24 |
| 105 | LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation [pdf] | 2017 | 24 |
| 106 | On Convergence and Stability of GANs [pdf] | 2017 | 23 |
| 107 | C-RNN-GAN: Continuous recurrent neural networks with adversarial training [pdf] | 2016 | 22 |
| 108 | Towards Diverse and Natural Image Descriptions via a Conditional GAN [pdf] | 2017 | 22 |
| 109 | Full Resolution Image Compression with Recurrent Neural Networks [pdf] | 2016 | 21 |
| 110 | Recurrent Topic-Transition GAN for Visual Paragraph Generation (RTT-GAN) [pdf] | 2017 | 21 |
| 111 | Multi-View Image Generation from a Single-View [pdf] | 2016 | 21 |
| 112 | Adversarial Transformation Networks: Learning to Generate Adversarial Examples [pdf] | 2017 | 21 |
| 113 | Simple Black-Box Adversarial Perturbations for Deep Networks [pdf] | 2016 | 21 |
| 114 | Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI [pdf] | 2017 | 21 |
| 115 | RenderGAN: Generating Realistic Labeled Data [pdf] | 2016 | 21 |
| 116 | Stabilizing Training of Generative Adversarial Networks through Regularization [pdf] | 2017 | 21 |
| 117 | CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks [pdf] | 2017 | 20 |
| 118 | Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks [pdf] | 2017 | 19 |
| 119 | 📈 Gradient descent GAN optimization is locally stable [pdf] | 2017 | 19 |
| 120 | Adversarial Training Methods for Semi-Supervised Text Classification [pdf] | 2016 | 18 |
| 121 | Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks (SSL-GAN) [pdf] | 2016 | 18 |
| 122 | Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation [pdf] | 2017 | 18 |
| 123 | Multi-Agent Diverse Generative Adversarial Networks (MAD-GAN) [pdf] | 2017 | 18 |
| 124 | ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching [pdf] | 2017 | 18 |
| 125 | Cooperative Training of Descriptor and Generator Networks [pdf] | 2016 | 17 |
| 126 | 3D Shape Induction from 2D Views of Multiple Objects (PrGAN) [pdf] | 2016 | 17 |
| 127 | Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts (AL-CGAN) [pdf] | 2016 | 17 |
| 128 | Conditional CycleGAN for Attribute Guided Face Image Generation [pdf] | 2017 | 17 |
| 129 | Objective-Reinforced Generative Adversarial Networks (ORGAN) [pdf] | 2017 | 17 |
| 130 | Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models [pdf] | 2017 | 17 |
| 131 | Generative Multi-Adversarial Networks [pdf] | 2016 | 16 |
| 132 | Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks [pdf] | 2017 | 16 |
| 133 | Dual Motion GAN for Future-Flow Embedded Video Prediction [pdf] | 2017 | 16 |
| 134 | VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning () [pdf] | 2017 | 16 |
| 135 | Unsupervised Image-to-Image Translation with Generative Adversarial Networks [pdf] | 2017 | 15 |
| 136 | Improved generator objectives for GANs [pdf] | 2017 | 15 |
| 137 | DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [pdf] | 2017 | 15 |
| 138 | CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training [pdf] | 2017 | 15 |
| 139 | Improved Semi-supervised Learning with GANs using Manifold Invariances [pdf] | 2017 | 14 |
| 140 | Inverting The Generator Of A Generative Adversarial Network [pdf] | 2016 | 14 |
| 141 | Precise Recovery of Latent Vectors from Generative Adversarial Networks [pdf] | 2016 | 14 |
| 142 | Comparison of Maximum Likelihood and GAN-based training of Real NVPs [pdf] | 2017 | 14 |
| 143 | Generate To Adapt: Aligning Domains using Generative Adversarial Networks [pdf] | 2017 | 14 |
| 144 | Semantically Decomposing the Latent Spaces of Generative Adversarial Networks (SD-GAN) [pdf] | 2017 | 14 |
| 145 | Adversarial Generation of Natural Language [pdf] | 2017 | 14 |
| 146 | MAGAN: Margin Adaptation for Generative Adversarial Networks [pdf] | 2017 | 13 |
| 147 | Reconstruction of three-dimensional porous media using generative adversarial neural networks [pdf] | 2017 | 13 |
| 148 | SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation [pdf] | 2017 | 13 |
| 149 | Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks (MedGAN) [pdf] | 2017 | 13 |
| 150 | SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [pdf] | 2017 | 13 |
| 151 | 📈 CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms [pdf] | 2017 | 13 |
| 152 | It Takes (Only) Two: Adversarial Generator-Encoder Networks [pdf] | 2017 | 12 |
| 153 | Generative Temporal Models with Memory [pdf] | 2017 | 12 |
| 154 | Generative Adversarial Residual Pairwise Networks for One Shot Learning [pdf] | 2017 | 12 |
| 155 | Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation [pdf] | 2017 | 12 |
| 156 | Texture Synthesis with Spatial Generative Adversarial Networks (SGAN) [pdf] | 2016 | 12 |
| 157 | Semi-Latent GAN: Learning to generate and modify facial images from attributes (SL-GAN) [pdf] | 2017 | 12 |
| 158 | Adversarial Networks for the Detection of Aggressive Prostate Cancer [pdf] | 2017 | 12 |
| 159 | Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks [pdf] | 2017 | 12 |
| 160 | Interactive 3D Modeling with a Generative Adversarial Network [pdf] | 2017 | 11 |
| 161 | Language Generation with Recurrent Generative Adversarial Networks without Pre-training [pdf] | 2017 | 11 |
| 162 | GP-GAN: Towards Realistic High-Resolution Image Blending [pdf] | 2017 | 11 |
| 163 | Universal Adversarial Perturbations Against Semantic Image Segmentation [pdf] | 2017 | 10 |
| 164 | A General Retraining Framework for Scalable Adversarial Classification [pdf] | 2016 | 10 |
| 165 | Contextual RNN-GANs for Abstract Reasoning Diagram Generation (Context-RNN-GAN) [pdf] | 2016 | 10 |
| 166 | Adversarial Image Perturbation for Privacy Protection–A Game Theory Perspective [pdf] | 2017 | 10 |
| 167 | Multi-Generator Gernerative Adversarial Nets [pdf] | 2017 | 10 |
| 168 | Optimizing the Latent Space of Generative Networks [pdf] | 2017 | 10 |
| 169 | GANs for Biological Image Synthesis [pdf] | 2017 | 10 |
| 170 | MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [pdf] | 2016 | 10 |
| 171 | 📈 Deep Generative Adversarial Compression Artifact Removal [pdf] | 2017 | 10 |
| 172 | Adversarial Deep Structural Networks for Mammographic Mass Segmentation [pdf] | 2017 | 9 |
| 173 | Adversarial Training For Sketch Retrieval (SketchGAN) [pdf] | 2016 | 9 |
| 174 | Perceptual Adversarial Networks for Image-to-Image Transformation [pdf] | 2017 | 9 |
| 175 | PixelGAN Autoencoders [pdf] | 2017 | 9 |
| 176 | Unsupervised Diverse Colorization via Generative Adversarial Networks [pdf] | 2017 | 9 |
| 177 | TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [pdf] | 2017 | 9 |
| 178 | Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking (GoGAN) [pdf] | 2017 | 8 |
| 179 | From source to target and back: symmetric bi-directional adaptive GAN [pdf] | 2017 | 8 |
| 180 | Robust LSTM-Autoencoders for Face De-Occlusion in the Wild [pdf] | 2016 | 8 |
| 181 | Ensembles of Generative Adversarial Networks [pdf] | 2016 | 8 |
| 182 | Bayesian GAN [pdf] | 2017 | 8 |
| 183 | Outline Colorization through Tandem Adversarial Networks [pdf] | 2017 | 8 |
| 184 | Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [pdf] | 2017 | 8 |
| 185 | ArtGAN: Artwork Synthesis with Conditional Categorial GANs [pdf] | 2017 | 8 |
| 186 | Generative Semantic Manipulation with Contrasting GAN [pdf] | 2017 | 8 |
| 187 | Steganographic Generative Adversarial Networks [pdf] | 2017 | 7 |
| 188 | GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data [pdf] | 2017 | 7 |
| 189 | Generative Adversarial Parallelization [pdf] | 2015 | 7 |
| 190 | CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training [pdf] | 2017 | 7 |
| 191 | Automatic Liver Segmentation Using an Adversarial Image-to-Image Network [pdf] | 2017 | 7 |
| 192 | Megapixel Size Image Creation using Generative Adversarial Networks [pdf] | 2017 | 6 |
| 193 | Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN [pdf] | 2017 | 6 |
| 194 | Semantic Image Synthesis via Adversarial Learning [pdf] | 2017 | 6 |
| 195 | WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [pdf] | 2017 | 6 |
| 196 | Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [pdf] | 2017 | 6 |
| 197 | Representation Learning and Adversarial Generation of 3D Point Clouds [pdf] | 2017 | 6 |
| 198 | 3D Object Reconstruction from a Single Depth View with Adversarial Learning [pdf] | 2017 | 6 |
| 199 | Abnormal Event Detection in Videos using Generative Adversarial Nets [pdf] | 2017 | 6 |
| 200 | Improved Adversarial Systems for 3D Object Generation and Reconstruction [pdf] | 2017 | 6 |
| 201 | Relaxed Wasserstein with Applications to GANs (RWGAN ) [pdf] | 2017 | 5 |
| 202 | Generative Adversarial Networks as Variational Training of Energy Based Models (VGAN) [pdf] | 2017 | 5 |
| 203 | Flow-GAN: Bridging implicit and prescribed learning in generative models [pdf] | 2017 | 5 |
| 204 | Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [pdf] | 2017 | 5 |
| 205 | Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis [pdf] | 2017 | 5 |
| 206 | ExprGAN: Facial Expression Editing with Controllable Expression Intensity [pdf] | 2017 | 5 |
| 207 | Learning Texture Manifolds with the Periodic Spatial GAN [pdf] | 2017 | 5 |
| 208 | SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks [pdf] | 2017 | 5 |
| 209 | Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks [pdf] | 2017 | 5 |
| 210 | Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces [pdf] | 2017 | 5 |
| 211 | Guiding InfoGAN with Semi-Supervision [pdf] | 2017 | 5 |
| 212 | APE-GAN: Adversarial Perturbation Elimination with GAN [pdf] | 2017 | 5 |
| 213 | Binary Generative Adversarial Networks for Image Retrieval [pdf] | 2017 | 5 |
| 214 | Message Passing Multi-Agent GANs (MPM-GAN) [pdf] | 2017 | 4 |
| 215 | Multi-view Generative Adversarial Networks (MV-BiGAN) [pdf] | 2017 | 4 |
| 216 | MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification [pdf] | 2017 | 4 |
| 217 | Associative Adversarial Networks [pdf] | 2017 | 4 |
| 218 | Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking [pdf] | 2017 | 4 |
| 219 | TextureGAN: Controlling Deep Image Synthesis with Texture Patches [pdf] | 2017 | 4 |
| 220 | On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [pdf] | 2017 | 4 |
| 221 | Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN [pdf] | 2017 | 4 |
| 222 | SeGAN: Segmenting and Generating the Invisible [pdf] | 2017 | 3 |
| 223 | Softmax GAN [pdf] | 2017 | 3 |
| 224 | Class-Splitting Generative Adversarial Networks [pdf] | 2017 | 3 |
| 225 | High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks [pdf] | 2017 | 3 |
| 226 | Generative Adversarial Structured Networks [pdf] | 2017 | 3 |
| 227 | Geometric GAN [pdf] | 2017 | 3 |
| 228 | Dualing GANs [pdf] | 2017 | 3 |
| 229 | Adversarial nets with perceptual losses for text-to-image synthesis [pdf] | 2017 | 3 |
| 230 | ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [pdf] | 2017 | 3 |
| 231 | GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks [pdf] | 2017 | 3 |
| 232 | How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis [pdf] | 2017 | 3 |
| 233 | Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks [pdf] | 2017 | 3 |
| 234 | Sharpness-aware Low dose CT denoising using conditional generative adversarial network [pdf] | 2017 | 3 |
| 235 | AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks [pdf] | 2017 | 2 |
| 236 | Generate Identity-Preserving Faces by Generative Adversarial Networks [pdf] | 2017 | 2 |
| 237 | Creatism: A deep-learning photographer capable of creating professional work [pdf] | 2017 | 2 |
| 238 | Image Generation and Editing with Variational Info Generative Adversarial Networks (ViGAN) [pdf] | 2016 | 2 |
| 239 | Supervised Adversarial Networks for Image Saliency Detection [pdf] | 2017 | 2 |
| 240 | Training Triplet Networks with GAN [pdf] | 2017 | 2 |
| 241 | Training Triplet Networks with GAN [pdf] | 2017 | 2 |
| 242 | Generative Mixture of Networks [pdf] | 2017 | 2 |
| 243 | Stopping GAN Violence: Generative Unadversarial Networks [pdf] | 2016 | 2 |
| 244 | A Classification-Based Perspective on GAN Distributions [pdf] | 2017 | 2 |
| 245 | CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning [pdf] | 2017 | 2 |
| 246 | Statistics of Deep Generated Images [pdf] | 2017 | 2 |
| 247 | Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification [pdf] | 2017 | 2 |
| 248 | Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks [pdf] | 2017 | 2 |
| 249 | Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network [pdf] | 2017 | 2 |
| 250 | Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning [pdf] | 2017 | 2 |
| 251 | Adversarial Generation of Training Examples for Vehicle License Plate Recognition [pdf] | 2017 | 1 |
| 252 | Aesthetic-Driven Image Enhancement by Adversarial Learning [pdf] | 2017 | 1 |
| 253 | Generative Adversarial Models for People Attribute Recognition in Surveillance [pdf] | 2017 | 1 |
| 254 | Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [pdf] | 2017 | 1 |
| 255 | Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks [pdf] | 2017 | 1 |
| 256 | Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images [pdf] | 2017 | 1 |
| 257 | Face Super-Resolution Through Wasserstein GANs [pdf] | 2017 | 1 |
| 258 | Continual Learning in Generative Adversarial Nets [pdf] | 2017 | 1 |
| 259 | An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [pdf] | 2017 | 1 |
| 260 | Generative Cooperative Net for Image Generation and Data Augmentation [pdf] | 2017 | 1 |
| 261 | Learning Loss for Knowledge Distillation with Conditional Adversarial Networks [pdf] | 2017 | 1 |
| 262 | Parametrizing filters of a CNN with a GAN [pdf] | 2017 | 1 |
| 263 | A step towards procedural terrain generation with GANs [pdf] | 2017 | 1 |
| 264 | Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB [pdf] | 2017 | 1 |
| 265 | Controllable Generative Adversarial Network [pdf] | 2017 | 1 |
| 266 | Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork [pdf] | 2017 | 1 |
| 267 | Microscopy Cell Segmentation via Adversarial Neural Networks [pdf] | 2017 | 1 |
| 268 | Neural Stain-Style Transfer Learning using GAN for Histopathological Images [pdf] | 2017 | 1 |
| 269 | Deep and Hierarchical Implicit Models (Bayesian GAN) [pdf] | 2017 | 0 |
| 270 | How to Train Your DRAGAN [pdf] | 2017 | 0 |
| 271 | Activation Maximization Generative Adversarial Nets [pdf] | 2017 | 0 |
| 272 | Generative Adversarial Nets with Labeled Data by Activation Maximization (AMGAN) [pdf] | 2017 | 0 |
| 273 | Depth Structure Preserving Scene Image Generation [pdf] | 2017 | 0 |
| 274 | Synthesizing Filamentary Structured Images with GANs [pdf] | 2017 | 0 |
| 275 | Bayesian Conditional Generative Adverserial Networks [pdf] | 2017 | 0 |
| 276 | Generative Adversarial Networks with Inverse Transformation Unit [pdf] | 2017 | 0 |
| 277 | Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks [pdf] | 2017 | 0 |
| 278 | KGAN: How to Break The Minimax Game in GAN [pdf] | 2017 | 0 |
| 279 | Linking Generative Adversarial Learning and Binary Classification [pdf] | 2017 | 0 |
| 280 | Structured Generative Adversarial Networks [pdf] | 2017 | 0 |
| 281 | Tensorizing Generative Adversarial Nets [pdf] | 2017 | 0 |
| 282 | A Novel Approach to Artistic Textual Visualization via GAN [pdf] | 2017 | 0 |
| 283 | Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data [pdf] | 2017 | 0 |
| 284 | Conditional Adversarial Network for Semantic Segmentation of Brain Tumor [pdf] | 2017 | 0 |
| 285 | Data Augmentation in Classification using GAN [pdf] | 2017 | 0 |
| 286 | Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis [pdf] | 2017 | 0 |
| 287 | Face Transfer with Generative Adversarial Network [pdf] | 2017 | 0 |
| 288 | Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets [pdf] | 2017 | 0 |
| 289 | Generative Adversarial Network based on Resnet for Conditional Image Restoration [pdf] | 2017 | 0 |
| 290 | Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network [pdf] | 2017 | 0 |
| 291 | High-Quality Face Image SR Using Conditional Generative Adversarial Networks [pdf] | 2017 | 0 |
| 292 | Improving image generative models with human interactions [pdf] | 2017 | 0 |
| 293 | Learning to Generate Chairs with Generative Adversarial Nets [pdf] | 2017 | 0 |
| 294 | Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution [pdf] | 2017 | 0 |
📔 Theory
- Improved Techniques for Training GANs [pdf]
- Energy-Based GANs & other Adversarial things by Yann Le Cun [pdf]
- Mode RegularizedGenerative Adversarial Networks [pdf]
🔩 Presentations / Books
- Generative Adversarial Networks (GANs) by Ian Goodfellow [pdf]
Learning Deep Generative Models by Ruslan Salakhutdinov [presentation]
GANs in Action: Deep learning with Generative Adversarial Networks [link to book]
📚 Courses / Tutorials / Blogs (Webpages unless other is stated)
- NIPS 2016 Tutorial: Generative Adversarial Networks (2016) [pdf]
- How to Train a GAN? Tips and tricks to make GANs work
- Generative Models by OpenAI
- MNIST Generative Adversarial Model in Keras
- Image Completion with Deep Learning in TensorFlow
- Attacking machine learning with adversarial examples by OpenAI
- On the intuition behind deep learning & GANs—towards a fundamental understanding
- SimGANs - a game changer in unsupervised learning, self driving cars, and more