Delving deep into GANs

πŸ“‹ 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 πŸ“ˆ Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) [pdf] 2016 706
5 πŸ“ˆ Wasserstein GAN (WGAN) [pdf] 2017 587
6 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ Stacked Generative Adversarial Networks (SGAN) [pdf] 2016 215
23 πŸ“ˆ StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [pdf] 2017 214
24 Adversarially Learned Inference (ALI) [pdf] 2016 211
25 πŸ“ˆ Conditional Image Synthesis with Auxiliary Classifier GANs (AC-GAN) [pdf] 2016 202
26 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ Coupled Generative Adversarial Networks (CoGAN) [pdf] 2016 162
33 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ 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 πŸ“ˆ CAN: Creative Adversarial Networks Generating β€œArt” 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 πŸ“ˆ 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

πŸ“” Theory

  • Improved Techniques for Training GANs [pdf]
  • Energy-Based GANs & other Adversarial things by Yann Le Cun [pdf]
  • Mode RegularizedGenerative Adversarial Networks [pdf]

πŸ”© 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]


πŸ“š Courses / Tutorials / Blogs (Webpages unless other is stated)