Delving-deep-into-GANs

Delving deep into Generative Adversarial Networks (GANs)

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

Background

Generative models are models that can learn to create data that is similar to data that we give them. One of the most promising approaches of those models are Generative Adversarial Networks (GANs), a branch of unsupervised machine learning implemented by a system of two neural networks competing against each other in a zero-sum game framework. They were first introduced by Ian Goodfellow et al. in 2014. This repository aims at presenting an elaborate list of the state-of-the-art works on the field of Generative Adversarial Networks since their introduction in 2014.

Image taken from http://multithreaded.stitchfix.com/blog/2016/02/02/a-fontastic-voyage/

This is going to be an evolving repo and I will keep updating it so make sure you have starred and forked this repository before moving on !

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:link: Contents

• Opening Publication
• Latest paper from Ian Goodfellow
• Papers
• Theory
• Presentations
• Courses
• Code / Resources / Models
• Frameworks & Libraries

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:busts_in_silhouette: Contributing

Contributions are welcome !! If you have any suggestions (missing or new papers, missing repos or typos) you can pull a request or start a discussion.

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:pushpin: Opening Publication

Generative Adversarial Nets (GANs) (2014) [pdf] [presentation] [code] [video]

:fire: Latest paper from Ian Goodfellow

Self-Attention Generative Adversarial Networks (SAGAN) (2018) [pdf] [PyTorch implementation]

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:clipboard: 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	:chart_with_upwards_trend: Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) [pdf]	2016	706
5	:chart_with_upwards_trend: Wasserstein GAN (WGAN) [pdf]	2017	587
6	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: Stacked Generative Adversarial Networks (SGAN) [pdf]	2016	215
23	:chart_with_upwards_trend: StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [pdf]	2017	214
24	Adversarially Learned Inference (ALI) [pdf]	2016	211
25	:chart_with_upwards_trend: Conditional Image Synthesis with Auxiliary Classifier GANs (AC-GAN) [pdf]	2016	202
26	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: Coupled Generative Adversarial Networks (CoGAN) [pdf]	2016	162
33	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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	:chart_with_upwards_trend: 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

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:notebook_with_decorative_cover: Theory

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

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:nut_and_bolt: 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]

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:books: 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

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:package: Resources / Models (Descending order based on GitHub stars)

S/N	Name	Repo	Stars
1	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN)	https://github.com/junyanz/CycleGAN	6383
2	:chart_with_upwards_trend: Image-to-image translation with conditional adversarial nets (pix2pix)	https://github.com/phillipi/pix2pix	4851
3	Image super-resolution through deep learning	https://github.com/david-gpu/srez	4801
4	Tensorflow implementation of Deep Convolutional Generative Adversarial Networks (DCGAN)	https://github.com/carpedm20/DCGAN-tensorflow	4223
5	:chart_with_upwards_trend: Generative Models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow	https://github.com/wiseodd/generative-models	3374
6	:chart_with_upwards_trend: Generative Visual Manipulation on the Natural Image Manifold (iGAN)	https://github.com/junyanz/iGAN	2775
7	Deep Convolutional Generative Adversarial Networks (DCGAN)	https://github.com/Newmu/dcgan_code	2750
8	:chart_with_upwards_trend: cleverhans: A library for benchmarking vulnerability to adversarial examples	https://github.com/openai/cleverhans	1939"
9	:chart_with_upwards_trend: Wasserstein GAN	https://github.com/martinarjovsky/WassersteinGAN	1784
10	Neural Photo Editing with Introspective Adversarial Networks	https://github.com/ajbrock/Neural-Photo-Editor	1709
11	Generative Adversarial Text to Image Synthesis	https://github.com/paarthneekhara/text-to-image	1648
12	Improved Techniques for Training GANs	https://github.com/openai/improved-gan	1345
13 :chart_with_upwards_trend:	Improved Training of Wasserstein GANs	https://github.com/igul222/improved_wgan_training	1114
14	StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks	https://github.com/hanzhanggit/StackGAN	1091
15	Semantic Image Inpainting with Perceptual and Contextual Losses (2016)	https://github.com/bamos/dcgan-completion.tensorflow	998
16	HyperGAN	https://github.com/255bits/HyperGAN	759
17	:chart_with_upwards_trend: Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)	https://github.com/devnag/pytorch-generative-adversarial-networks	758
18	:chart_with_upwards_trend: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks	https://github.com/carpedm20/DiscoGAN-pytorch	710
19	Unsupervised Cross-Domain Image Generation	https://github.com/yunjey/domain-transfer-network	652
20	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (KERAS-DCGAN)	https://github.com/jacobgil/keras-dcgan	649
21	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (The Eyescream Project)	https://github.com/facebook/eyescream	566
22	:chart_with_upwards_trend: Image-to-image translation using conditional adversarial nets	https://github.com/yenchenlin/pix2pix-tensorflow	548
23	Generating Videos with Scene Dynamics	https://github.com/cvondrick/videogan	537
24	Deep multi-scale video prediction beyond mean square error	https://github.com/dyelax/Adversarial_Video_Generation	454
25	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space	https://github.com/Evolving-AI-Lab/ppgn	450
26	Learning from Simulated and Unsupervised Images through Adversarial Training	https://github.com/carpedm20/simulated-unsupervised-tensorflow	448
27	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks	https://github.com/Evolving-AI-Lab/synthesizing	421
28	:chart_with_upwards_trend: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling	https://github.com/zck119/3dgan-release	383
29	A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection	https://github.com/xiaolonw/adversarial-frcnn	362
30	Conditional Image Synthesis With Auxiliary Classifier GANs	https://github.com/buriburisuri/ac-gan	312
31	Generating images with recurrent adversarial networks (sequence_gan)	https://github.com/ofirnachum/sequence_gan	298
32	Learning What and Where to Draw	https://github.com/reedscot/nips2016	294
33	Adversarially Learned Inference (2016) (ALI)	https://github.com/IshmaelBelghazi/ALI	248
34	Precomputed real-time texture synthesis with markovian generative adversarial networks	https://github.com/chuanli11/MGANs	235
35	Autoencoding beyond pixels using a learned similarity metric	https://github.com/andersbll/autoencoding_beyond_pixels	235
36	Unrolled Generative Adversarial Networks	https://github.com/poolio/unrolled_gan	223
37	Sampling Generative Networks	https://github.com/dribnet/plat	198
38	Energy-based generative adversarial network	https://github.com/buriburisuri/ebgan	194
39	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	https://github.com/leehomyc/Photo-Realistic-Super-Resoluton	175
40	Invertible Conditional GANs for image editing	https://github.com/Guim3/IcGAN	174
41	Pixel-Level Domain Transfer	https://github.com/fxia22/PixelDTGAN	169
42	SalGAN: Visual Saliency Prediction with Generative Adversarial Networks	https://github.com/imatge-upc/saliency-salgan-2017	164
43	Generative face completion (2017)	https://github.com/Yijunmaverick/GenerativeFaceCompletion	163
44	:chart_with_upwards_trend: C-RNN-GAN: Continuous recurrent neural networks with adversarial training	https://github.com/olofmogren/c-rnn-gan	151
45	Adversarial Autoencoders	https://github.com/musyoku/adversarial-autoencoder	148
46	Coupled Generative Adversarial Networks	https://github.com/mingyuliutw/CoGAN	148
47	Context Encoders: Feature Learning by Inpainting (2016)	https://github.com/jazzsaxmafia/Inpainting	108
48	Generative Image Modeling using Style and Structure Adversarial Networks (ss-gan)	https://github.com/xiaolonw/ss-gan	100
49	Conditional Generative Adversarial Nets	https://github.com/zhangqianhui/Conditional-Gans	98
50	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	https://github.com/buriburisuri/supervised_infogan	79
51	Reconstruction of three-dimensional porous media using generative adversarial neural networks	https://github.com/LukasMosser/PorousMediaGan	29
52	Improving Generative Adversarial Networks with Denoising Feature Matching	https://github.com/hvy/chainer-gan-denoising-feature-matching	15
53	Least Squares Generative Adversarial Networks	https://github.com/pfnet-research/chainer-LSGAN	9

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:electric_plug: Frameworks & Libraries (Descending order based on GitHub stars)

• Tensorflow by Google [C++ and CUDA]: [homepage] [github]
• Caffe by Berkeley Vision and Learning Center (BVLC) [C++]: [homepage] [github] [Installation Instructions]
• Keras by François Chollet [Python]: [homepage] [github]
• Microsoft Cognitive Toolkit - CNTK [C++]: [homepage] [github]
• MXNet adapted by Amazon [C++]: [homepage] [github]
• Torch by Collobert, Kavukcuoglu & Clement Farabet, widely used by Facebook [Lua]: [homepage] [github]
• Convnetjs by Andrej Karpathy [JavaScript]: [homepage] [github]
• Theano by Université de Montréal [Python]: [homepage] [github]
• Deeplearning4j by startup Skymind [Java]: [homepage] [github]
• Caffe2 by Facebook Open Source [C++ & Python]: [github] [web]
• Paddle by Baidu [C++]: [homepage] [github]
• Deep Scalable Sparse Tensor Network Engine (DSSTNE) by Amazon [C++]: [github]
• Neon by Nervana Systems [Python & Sass]: [homepage] [github]
• Chainer [Python]: [homepage] [github]
• h2o [Java]: [homepage] [github]
• Brainstorm by Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) [Python]: [github]
• Matconvnet by Andrea Vedaldi [Matlab]: [homepage] [github]

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License

MIT