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All-About-the-GAN

GAN(Generative Adversarial Networks) are the models that used in unsupervised machine learning, implemented by a system of two neural networks competing against each other in a zero-sum game framework. It was introduced by Ian Goodfellow et al. in 2014.

The purpose of this repository is providing the curated list of the state-of-the-art works on the field of Generative Adversarial Networks since their introduction in 2014.

It provides a list that merged information from various GAN lists and repositories as below:

🔗 Reference repositories


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

Contributions are welcome. Please contact me at hollobit@etri.re.kr or send a pull request. You can have to add links through pull requests or create an issue which something I missed or need to start a discussion.


  1. 3C-GAN: AN CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY - (Search) (Scholar) (PDF)(Web)

    • 2018/1 ICLR2018
  2. 3D Medical Image Synthesis using Generative Adversarial Networks - (Search) (Scholar) (PDF)

    • 2017/
  3. 3D Object Reconstruction from a Single Depth View with Adversarial Learning? - (Search) (Scholar) (PDF)(arXiv) (github)

    • 2017/8 Applied Vision 3D-RecGAN
  4. 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network - (Search) (Scholar) (PDF)(arXiv)

    • 2017/11 ORGAN
  5. 3D Shape Induction from 2D Views of Multiple Objects - (Search) (Scholar) (PDF)(arXiv)

    • 2016/12 3D Object generation PrGAN Citation: 9
  6. 3D-Scene-GAN: Three-dimensional Scene Reconstruction with Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web)

    • 2018/2 ICLR2018
  7. A Classification-Based Perspective on GAN Distributions - (Search) (Scholar) (PDF)(Web)

    • 2018/1 ICLR2018
  8. A Classification-Based Perspective on GAN Distributions? - (Search) (Scholar) (PDF)(arXiv)

    • 2017/11 Theory & Machine Learning Citation: 1
  9. A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models? - (Search) (Scholar) (PDF)(arXiv)

    • 2016/11 Theory & Machine Learning Citation: 16
  10. A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation - (Search) (Scholar) (PDF)(arXiv) - 2018/1 None

  11. A General Retraining Framework for Scalable Adversarial Classification? - (Search) (Scholar) (PDF)(arXiv) - 2016/4 Theory & Machine Learning Citation: 6

  12. A generative adversarial framework for positive-unlabeled classification - (Search) (Scholar) (PDF)(arXiv) - 2017/11 GPU

  13. A Generative Model for Volume Rendering - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Other

  14. A Novel Approach to Artistic Textual Visualization via GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision GAN-ATV

  15. A Self-Training Method for Semi-Supervised GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  16. A step towards procedural terrain generation with GANs? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision

  17. A Study into the similarity in generator and discriminator in GAN architecture - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  18. A Study of Cross-domain Generative Models applied to Cartoon Series? - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  19. A Variational Inequality Perspective on Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2018/2 New

  20. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Object Detection Citation: 12

  21. ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks - (Search) (Scholar) (PDF)(github) - 2017/8 ABC-GAN Stars: 2

  22. Abnormal Event Detection in Videos using Generative Adversarial Nets? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision

  23. Accelerated Magnetic Resonance Imaging by Adversarial Neural Network - (Search) (Scholar) (PDF) - 2017/9 Medical: Reconstruction

  24. Activation Maximization Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Theory & Machine Learning AM-GAN

  25. Activation Maximization Generative Adversarial Nets - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  26. ACtuAL: Actor-Critic Under Adversarial Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/11 ACtuAL

  27. AdaGAN: Boosting Generative Models? - (Search) (Scholar) (PDF)(arXiv) - 2017/1 Ensemble, Theory & Machine Learning AdaGAN Citation: 19

  28. Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  29. Adversarial Attacks on Neural Network Policies? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Citation: 21

  30. Adversarial Autoencoders? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2015/11 Theory & Machine Learning AAE Citation: 163 Stars: 130

  31. Adversarial Deep Structural Networks for Mammographic Mass Segmentation - (Search) (Scholar) (PDF)(arXiv) - 2016/12 BioarXiv

  32. Adversarial Deep Structural Networks for Mammographic Mass Segmentation? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Semantic Segmentation Citation: 7

  33. Adversarial Deep Structured Nets for Mass Segmentation from Mammograms - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/10 Medical: Segmentation Stars: 13

  34. Adversarial Discriminative Domain Adaptation? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2017/2 Theory & Machine Learning Citation: 52

  35. Adversarial examples for generative models - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Adversarial Examples (Defense vs Attack)

  36. Adversarial Examples for Semantic Segmentation and Object Detection? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Citation: 17

  37. Adversarial Examples Generation and Defense Based on Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/ Adversarial Examples (Defense vs Attack)

  38. Adversarial Feature Learning - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 2016/5 Theory & Machine Learning BiGAN Citation: 142

  39. Adversarial Generation of Natural Language? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Other Citation: 4

  40. Adversarial Generation of Training Examples for Vehicle License Plate Recognition? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Object Detection Citation: 1

  41. Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  42. Adversarial Generator-Encoder Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Theory & Machine Learning Citation: 9

  43. Adversarial Image Alignment and Interpolation? - (Search) (Scholar) (PDF)(arXiv) - 2017/6

  44. Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Citation: 6

  45. Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data - (Search) (Scholar) (PDF) - 2017/9 Medical: Synthersize

  46. Adversarial Learning for Semi-Supervised Semantic Segmentation - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  47. Adversarial nets with perceptual losses for text-to-image synthesis? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision

  48. Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision

  49. Adversarial Networks for the Detection of Aggressive Prostate Cancer? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Medical: Detection Applied Vision Citation: 3

  50. Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Vision Citation: 7

  51. Adversarial Ranking for Language Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Other RankGAN

  52. Adversarial Representation Learning for Domain Adaptation - (Search) (Scholar) (PDF)(arXiv) - 2017/7 ARDA

  53. Adversarial Stain Transfer for Histopathology Image Analysis - (Search) (Scholar) (PDF)(arXiv) - 2017/ None

  54. Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth - (Search) (Scholar) (PDF)(arXiv) - 2017/12 Medical: Segmentation

  55. Adversarial training and dilated convolutions for brain MRI segmentation? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Medical: Segmentation

  56. Adversarial Training For Sketch Retrieval - (Search) (Scholar) (PDF)(arXiv) - 2016/7 Applied Vision SketchGAN Citation: 4

  57. Adversarial Training Methods for Semi-Supervised Text Classification? - (Search) (Scholar) (PDF)(arXiv) - 2016/5 Semi-supervised learning Citation: 9

  58. Adversarial Transformation Networks: Learning to Generate Adversarial Examples - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Citation: 11

  59. Adversarial Variational Bayes Unifying Variational Autoencoders and Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/1 None

  60. Adversarially Learned Inference - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/6 Joint Probability ALI Citation: 129 Stars: 233

  61. Adversarially Regularized Autoencoders for Generating Discrete Structures - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/6 ARAE Stars: 131

  62. AE-GAN: adversarial eliminating with GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Theory & Machine Learning AE-GAN

  63. Aesthetic-Driven Image Enhancement by Adversarial Learning? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision Citation: 1

  64. Age Progression / Regression by Conditional Adversarial Autoencoder? - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/2 Face Aging Citation: 12

  65. ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 ALICE Citation: 5

  66. AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision AlignGAN Citation: 2

  67. AmbientGAN: Generative models from lossy measurements - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018 Top100

  68. Amortised MAP Inference for Image Super-resolution - (Search) (Scholar) (PDF)(arXiv) - 🎯 2016/10 Applied Vision AffGAN Citation: 52

  69. An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Theory & Machine Learning

  70. An Online Learning Approach to Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Chekhov GAN

  71. Anomaly Detection with Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  72. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision Anti-Makeup

  73. APE-GAN: Adversarial Perturbation Elimination with GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Theory & Machine Learning

  74. Arbitrary Facial Attribute Editing: Only Change What You Want - (Search) (Scholar) (PDF)(arXiv) - 2017/11 AttGAN

  75. Are GANs Created Equal? A Large-Scale Study - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  76. Are Generative Classifiers More Robust to Adversarial Attacks? - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  77. Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/11 CoAtt-GAN

  78. ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/9 BioarXiv

  79. ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision ARIGAN

  80. ArtGAN: Artwork Synthesis with Conditional Categorial GANs? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Applied Vision ArtGAN Citation: 1

  81. Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data? - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Applied Vision

  82. ASP:A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  83. Associative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Theory & Machine Learning Citation: 1

  84. Attacking Speaker Recognition With Deep Generative Models - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  85. Attend, infer, repeat: Fast scene understanding with generative models? - (Search) (Scholar) (PDF)(arXiv) - 2016/3 Citation: 42

  86. Attention-Aware Generative Adversarial Networks (ATA-GANs) - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  87. Attentive Generative Adversarial Network for Raindrop Removal from a Single Image - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  88. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 AttnGAN

  89. Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Vision Citation: 3

  90. Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Vision Citation: 2

  91. Autoencoding beyond pixels using a learned similarity metric - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - 🎯 :octocat: 2015/12 Face Generative and Editing VAE-GAN Citation: 155 Stars: 281

  92. Automated dataset generation for image recognition using the example of taxonomy - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  93. Automatic Goal Generation for Reinforcement Learning Agents - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  94. Automatic Liver Segmentation Using an Adversarial Image-to-Image Network? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Medical: Segmentation Applied Vision Citation: 1

  95. Autoregressive Generative Adversarial Networks? - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  96. Bayesian Conditional Generative Adverserial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Theory & Machine Learning BCGAN

  97. Bayesian GAN? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/5 Theory & Machine Learning Bayesian GAN Citation: 3 Stars: 804

  98. Be Your Own Prada: Fashion Synthesis with Structural Coherence - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/10 FashionGAN Stars: 95

  99. BEGAN: Boundary Equilibrium Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - 🎯 :octocat: 2017/3 Theory & Machine Learning BEGAN Citation: 82 Stars: 553

  100. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Face Generative and Editing TP-GAN Citation: 26

  101. Bidirectional Conditional Generative Adversarial networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 BCGAN

  102. Binary Generative Adversarial Networks for Image Retrieval? - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/8 Theory & Machine Learning BGAN Stars: 8

  103. Biomedical Data Augmentation Using Generative Adversarial Neural Networks? - (Search) (Scholar) (PDF) - 2017/10 Medical: Synthersize BDA-GANN

  104. Bitewing Radiography Semantic Segmentation Base on Conditional Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  105. Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers - (Search) (Scholar) (PDF)(arXiv) - 2018/1 None

  106. Boundary Seeking GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  107. Boundary-Seeking Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/2 For discrete distributions BS-GAN Citation: 18

  108. Building a 3D Integrated Cell - (Search) (Scholar) (PDF)(arXiv) - 2017/12 BioarXiv

  109. C-RNN-GAN: Continuous recurrent neural networks with adversarial training? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/11 RNN C-RNN-GAN Citation: 12 Stars: 108

  110. CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/5 CaloGAN Citation: 11 Stars: 51

  111. Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  112. CAN: Creative Adversarial Networks Generating ��Art�� by Learning About Styles and Deviating from Style Norms? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Face Aging CAN Citation: 1

  113. CapsuleGAN: Generative Adversarial Capsule Network - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  114. Capturing the diversity of biological tuning curves using generative adversarial networks - (Search) (Scholar) (PDF)(arXiv) - 2017/7 BioarXiv

  115. CatGAN: Coupled Adversarial Transfer for Domain Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/11 CatGAN

  116. CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/9 Theory & Machine Learning CausalGAN Citation: 1 Stars: 43

  117. CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018 Top100

  118. cGANs with Projection Discriminator - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  119. Channel-Recurrent Variational Autoencoders - (Search) (Scholar) (PDF)(arXiv) - 2017/6 crVAE-GAN

  120. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Other

  121. Chinese Typeface Transformation with Hierarchical Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/11 HAN

  122. Class-Splitting Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Theory & Machine Learning Splitting GAN Citation: 1

  123. cleverhans: A library for benchmarking vulnerability to adversarial examples - (Search) (Scholar) (PDF)(github) - :octocat: 2017/ CleverHANS Stars: 1509

  124. CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Theory & Machine Learning CM-GAN

  125. Comparative Study on Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  126. Comparison of Maximum Likelihood and GAN-based training of Real NVPs? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Citation: 7

  127. Composite Functional Gradient Learning of Generative Adversarial Models - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  128. Composition-aided Sketch-realistic Portrait Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/12 CA-GAN

  129. __Compositional Pattern Producing GAN __ - (Search) (Scholar) (PDF) - 2017/ New

  130. Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Medical: Reconstruction Applied Vision RefineGAN Citation: 1

  131. Conditional Adversarial Network for Semantic Segmentation of Brain Tumor? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Medical: Segmentation Applied Vision

  132. Conditional Autoencoders with Adversarial Information Factorization - (Search) (Scholar) (PDF)(arXiv) - 2017/11 IFcVAEGAN

  133. Conditional CycleGAN for Attribute Guided Face Image Generation? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Conditional cycleGAN Citation: 6

  134. Conditional Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2014/11 Conditional adversarial CGAN Citation: 321 Stars: 70

  135. Conditional generative adversarial nets for convolutional face generation? - (Search) (Scholar) (PDF) - 🎯 2014/ Applied Vision Citation: 67

  136. Conditional Generative Adversarial Networks for Emoji Synthesis with Word Embedding Manipulation - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  137. Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification? - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  138. Conditional Image Generation with PixelCNN Decoders? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2016/6 Citation: 140

  139. __Conditional Image Synthesis with Auxiliary Classifier GANs __ - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/10 Conditional adversarial AC-GAN Citation: 86 Stars: 287

  140. Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  141. Connecting Generative Adversarial Networks and Actor-Critic Methods? - (Search) (Scholar) (PDF)(arXiv) - 2016/10 Theory & Machine Learning Citation: 18

  142. Context Encoders: Feature Learning by Inpainting? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 2016/4 Image Inpainting Citation: 217

  143. Context-Aware Generative Adversarial Privacy - (Search) (Scholar) (PDF)(arXiv) - 2017/10 GAP

  144. Contextual RNN-GANs for Abstract Reasoning Diagram Generation - (Search) (Scholar) (PDF)(arXiv) - 2016/9 Applied Vision Context-RNN-GAN Citation: 6

  145. Continual Learning in Generative Adversarial Nets? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Citation: 1

  146. Controllable Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision CGAN

  147. Controllable Invariance through Adversarial Feature Learning - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/5 Improving Classification And Recong Stars: 4

  148. Cooperative Training of Descriptor and Generator Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/9 Theory & Machine Learning Citation: 10

  149. Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Coulomb GAN

  150. Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  151. Coupled Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/6 Image translation, Face Generative and Editing CoGAN Citation: 90 Stars: 100

  152. Coupled generative adversarial stacked Auto-encoder: CoGASA - (Search) (Scholar) (PDF)(arXiv) - 2018/ None

  153. Coverless Information Hiding Based on Generative adversarial networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  154. Creatism: A deep-learning photographer capable of creating professional work? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision Citation: 1

  155. Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection - (Search) (Scholar) (PDF)(arXiv) - 2018/2 Medical

  156. Cross-View Image Synthesis using Conditional GANs - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  157. Crossing Generative Adversarial Networks for Cross-View Person Re-identification - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  158. Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Applied Vision Citation: 5

  159. CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training? - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Applied Vision CVAE-GAN Citation: 3

  160. CytoGAN: Generative Modeling of Cell Images - (Search) (Scholar) (PDF)(arXiv) - 2017/12 BioarXiv

  161. DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials) - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  162. DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  163. Data Augmentation Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 DAGAN

  164. Data Augmentation in Classification using GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Applied Vision

  165. Data Augmentation in Emotion Classification Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  166. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/11 DeblurGAN Stars: 613

  167. Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images - (Search) (Scholar) (PDF) - 2017/9 Medical: Segmentation

  168. Deep and Hierarchical Implicit Models - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/2 Theory & Machine Learning Bayesian GAN Citation: 24 Stars: 804

  169. Deep De-Aliasing for Fast Compressive Sensing MRI - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Medical: Reconstruction

  170. Deep Future Gaze Gaze Anticipation on Egocentric Videos Using Adversarial Networks - (Search) (Scholar) (PDF) - 2017/ None

  171. Deep Generative Adversarial Compression Artifact Removal? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Applied Vision Citation: 1

  172. Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Medical: Reconstruction Applied Vision GANCS Citation: 9

  173. Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Medical: Synthesize Applied Vision

  174. Deep Generative Filter for Motion Deblurring? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 DGF-MD

  175. __Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks __ - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2015/6 Applied Vision LAPGAN Citation: 405 Stars: 547

  176. Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/10

  177. Deep Lipschitz networks and Dudley GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  178. Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Citation: 9

  179. Deep MR to CT Synthesis using Unpaired Data - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Medical: Synthersize

  180. Deep multi-scale video prediction beyond mean square error - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2015/11 Video Prediction and Generation Citation: 200 Stars: 382

  181. Deep Photo Style Transfer - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/ Domain-transfer

  182. DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  183. Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  184. Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  185. Deformable GANs for Pose-based Human Image Generation - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  186. DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/6 Applied Vision DeliGAN Citation: 7 Stars: 53

  187. Demystifying AlphaGo Zero as AlphaGo GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/11 AlphagoGAN

  188. Demystifying MMD GANs - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  189. Demystifying MMD GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  190. Depth Structure Preserving Scene Image Generation? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Vision DSP-GAN

  191. Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  192. Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  193. Differentially Private Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  194. Differentially Private Releasing via Deep Generative Model - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  195. Discrete Wasserstein Generative Adversarial Networks (DWGAN) - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  196. Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation - (Search) (Scholar) (PDF)(arXiv) - 2017/11 DRPAN

  197. DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  198. DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  199. Disease Prediction from Electronic Health Records Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Medical: EHRR

  200. Disentangled Representation Learning GAN for Pose-Invariant Face Recognition - (Search) (Scholar) (PDF) - 2017/ Citation: 31

  201. Distributional Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/6 DAN

  202. Distributional Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  203. DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images - (Search) (Scholar) (PDF)(arXiv) - 2017/11 DNA-GAN

  204. DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  205. Do GANs actually learn the distribution? An empirical study - (Search) (Scholar) (PDF)(arXiv) - 2017/6

  206. Do GANs learn the distribution? Some Theory and Empirics - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  207. DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  208. Dual Discriminator Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/9 D2GAN

  209. Dual Motion GAN for Future-Flow Embedded Video Prediction? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision DM-GAN Citation: 5

  210. DualGAN: Unsupervised Dual Learning for Image-to-Image Translation? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/4 Applied Vision DualGAN Citation: 32 Stars: 102

  211. Dualing GANs? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Theory & Machine Learning Dualing GAN

  212. Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image - (Search) (Scholar) (PDF)(arXiv) - 2017/12 Dynamics Transfer GAN

  213. Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  214. eCommerceGAN : A Generative Adversarial Network for E-commerce - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  215. eCommerceGAN: A Generative Adversarial Network for e-commerce - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  216. Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network - (Search) (Scholar) (PDF)(arXiv) - 2018/3 Medical, New

  217. Efficient GAN-Based Anomaly Detection - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  218. Efficient GAN-Based Anomaly Detection - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  219. End-to-end Adversarial Learning for Generative Conversational Agents - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  220. End-to-end Adversarial Retinal Image Synthesis? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Medical: Synthersize

  221. Energy-Based GANs & other Adversarial things - (Search) (Scholar) (PDF) - 2016/12

  222. Energy-based Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/9 GAN Theory EBGAN Citation: 158 Stars: 195

  223. Energy-relaxed Wasserstein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/12 EnergyWGAN

  224. Enhanced Experience Replay Generation for Efficient Reinforcement Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/5 EGAN

  225. EnhanceGAN - (Search) (Scholar) (PDF)(arXiv) - 2017/ Super-Resolution EnhanceGAN

  226. EnhanceNet Single Image Super-Resolution through Automated Texture Synthesis? - (Search) (Scholar) (PDF)(arXiv) - 2016/12

  227. Enhancing Underwater Imagery using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  228. Ensembles of Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Citation: 4

  229. Evolutionary Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  230. Explaining and Harnessing Adversarial Examples? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2014/12 Theory & Machine Learning Citation: 536

  231. Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition - (Search) (Scholar) (PDF)(arXiv) - 2017/11 FSEGAN

  232. Exposure A White-Box Photo Post-Processing Framework? - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  233. ExprGAN: Facial Expression Editing with Controllable Expression Intensity? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision ExprGAN Citation: 2

  234. Eye In-Painting with Exemplar Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 ExGAN

  235. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 2016/6 Theory & Machine Learning f-GAN Citation: 114

  236. Face Aging With Conditional Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Face Aging acGAN Citation: 16

  237. Face Aging with Contextual Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  238. Face Super-Resolution Through Wasserstein GANs? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Citation: 1

  239. Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  240. Face Synthesis with Landmark Points from Generative Adversarial Networks and Inverse Latent Space Mapping - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  241. Face Transfer with Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision

  242. Face Translation between Images and Videos using Identity-aware CycleGAN - (Search) (Scholar) (PDF)(arXiv) - 2017/12 IdCycleGAN

  243. FaceGANs: Stable Generative Adversarial Networks with High-Quality Images - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  244. Fast Cosmic Web Simulations with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  245. Feature Generating Networks for Zero-Shot Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/12 f-CLSWGAN

  246. Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Citation: 22

  247. Feature-Based Metrics for Exploring the Latent Space of Generative Models - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  248. Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision

  249. First Order Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  250. Fisher GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Fisher GAN

  251. Flexible Prior Distributions for Deep Generative Models - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  252. Flow-GAN: Bridging implicit and prescribed learning in generative models? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Flow-GAN Citation: 3

  253. Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  254. Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 FIGAN

  255. Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Medical: Synthersize Applied Vision

  256. From source to target and back: symmetric bi-directional adaptive GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Vision SBADA-GAN Citation: 5

  257. Full Resolution Image Compression with Recurrent Neural Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/8 Applied Vision Citation: 29

  258. Fully Convolutional Refined Auto-Encoding Generative Adversarial Networks for 3D Multi Object Scenes - (Search) (Scholar) (PDF)(arXiv) (github) (Web) - 2017/ 3D Object generation

  259. GAGAN: Geometry-Aware Generative Adverserial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 GAGAN

  260. GAN Playground - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/ Stars: 235

  261. GAN Quality Index (GQI) By GAN-induced Classifier - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  262. GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  263. Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Theory & Machine Learning GoGAN Citation: 5

  264. GANGs: Generative Adversarial Network Games - (Search) (Scholar) (PDF)(arXiv) - 2017/12 GANG

  265. GANosaic: Mosaic Creation with Generative Texture Manifolds - (Search) (Scholar) (PDF)(arXiv) - 2017/12 GANosaic

  266. GANs comparison without cherry-picking - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/9 Stars: 362

  267. GANs for Biological Image Synthesis? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/8 Applied Vision GAN-sep Citation: 3 Stars: 70

  268. GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference - (Search) (Scholar) (PDF)(arXiv) - 2017/11 ABC-GAN

  269. GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution - (Search) (Scholar) (PDF)(arXiv) - 2016/11 For discrete distributions

  270. GANs for Simulation, Representation and Inference - (Search) (Scholar) (PDF)(Web) - 2018/2 None

  271. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium - (Search) (Scholar) (PDF)(arXiv) - 2017/6

  272. GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  273. GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/5 Face Generative and Editing GeneGAN Citation: 4 Stars: 67

  274. Generalization and Equilibrium in Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/3 GAN Theory MIX+GAN Citation: 35

  275. Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 Medical: Classification

  276. Generate Identity-Preserving Faces by Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Vision Citation: 2

  277. Generate To Adapt: Aligning Domains using Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Applied Vision Citation: 7

  278. Generating Adversarial Examples with Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  279. Generating Adversarial Examples with Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  280. Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Applied Other MalGAN Citation: 15

  281. Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  282. Generating Differentially Private Datasets Using GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  283. Generating Differentially Private Datasets Using GANs - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  284. Generating Images with Perceptual Similarity Metrics based on Deep Networks? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2016/2 Unclassified Citation: 96

  285. Generating images with recurrent adversarial networks? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/2 Theory & Machine Learning GRAN Citation: 56 Stars: 99

  286. Generating Instance Segmentation Annotation by Geometry-guided GAN - (Search) (Scholar) (PDF)(arXiv) - 2018/1 None

  287. Generating Large Images from Latent Vectors - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/ High-resolution image generation (large-scale image)

  288. Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Medical: EHRR Applied Other MedGAN Citation: 5

  289. Generating Natural Adversarial Examples - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  290. Generating Pokemon with a Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/11 PokeGAN Stars: 121

  291. Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  292. Generating Triples with Adversarial Networks for Scene Graph Construction - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  293. Generating Videos with Scene Dynamics - (Search) (Scholar) (PDF)(arXiv) (github) (Web) - 🎯 :octocat: 2016/9 Video Prediction and Generation VGAN Citation: 114 Stars: 504

  294. Generative Adversarial Imitation Learning? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2016/6 Citation: 61

  295. Generative Adversarial Mapping Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/9 GAMN

  296. Generative Adversarial Models for People Attribute Recognition in Surveillance? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision Citation: 1

  297. Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2014/6 The First paper GAN Citation: 1948 Stars: 1230

  298. Generative Adversarial Nets for Multiple Text Corpora - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  299. Generative Adversarial Nets from a Density Ratio Estimation Perspective - (Search) (Scholar) (PDF)(arXiv) - 2016/11 b-GAN

  300. Generative Adversarial Nets with Labeled Data by Activation Maximization - (Search) (Scholar) (PDF)(arXiv) - 2017/3 AMGAN Citation: 2

  301. Generative Adversarial Network based on Resnet for Conditional Image Restoration - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision ResGAN

  302. Generative Adversarial Network for Abstractive Text Summarization - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  303. Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision GAN-VFS Citation: 1

  304. Generative Adversarial Network-Based Virtual Try-On with Clothing Region - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  305. Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN) - (Search) (Scholar) (PDF)(github) - :octocat: 2017/ SequenceGAN Stars: 264

  306. Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  307. Generative adversarial networks as a tool to recover structural information from cryo-electron microscopy data - (Search) (Scholar) (PDF)(arXiv) - 2018/2 New

  308. Generative Adversarial Networks as Variational Training of Energy Based Models - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/11 Theory & Machine Learning VGAN Citation: 3 Stars: 14

  309. Generative adversarial networks for brain lesion detection - (Search) (Scholar) (PDF) - 2017/2 Medical: Detection

  310. Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  311. Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Vision Citation: 1

  312. Generative Adversarial Networks for Noise Reduction in Low-Dose CT? - (Search) (Scholar) (PDF) - 2017/5 Medical: LD-CT

  313. Generative adversarial networks for reconstructing natural images from brain activity - (Search) (Scholar) (PDF)(arXiv) - 2017/12 BioarXiv

  314. Generative adversarial networks uncover epidermal regulators and predict single cell perturbations - (Search) (Scholar) (PDF)(arXiv) - 2018/2 BioarXiv

  315. Generative Adversarial Networks using Adaptive Convolution - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  316. Generative Adversarial Networks using Adaptive Convolution - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  317. Generative Adversarial Networks with Inverse Transformation Unit? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Theory & Machine Learning

  318. Generative Adversarial Networks: An Overview? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Overview

  319. Generative Adversarial Parallelization? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Theory & Machine Learning Citation: 3

  320. Generative Adversarial Residual Pairwise Networks for One Shot Learning? - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Theory & Machine Learning Citation: 6

  321. Generative Adversarial Source Separation - (Search) (Scholar) (PDF)(arXiv) - 2017/10

  322. Generative Adversarial Structured Networks? - (Search) (Scholar) (PDF) - 2017/ Theory & Machine Learning GASN Citation: 1

  323. Generative Adversarial Text to Image Synthesis? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/5 Generation High-Quality Images GAN-CLS Citation: 225 Stars: 579

  324. Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/5

  325. Generative Cooperative Net for Image Generation and Data Augmentation? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning

  326. Generative face completion? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/4 Image Inpainting Citation: 15 Stars: 111

  327. Generative Image Modeling using Style and Structure Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/3 Unclassified S^2GAN Citation: 82 Stars: 95

  328. Generative Mixture of Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/2

  329. Generative Models for Stochastic Processes Using Convolutional Neural Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  330. Generative Moment Matching Networks? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2015/2 Theory & Machine Learning Citation: 120

  331. Generative Multi-Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/11 GMAN Citation: 19

  332. __Generative OpenMax for Multi-Class Open Set Classification __ - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Improving Classification And Recong

  333. Generative Semantic Manipulation with Contrasting GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Theory & Machine Learning constrast-GAN

  334. Generative Sensing: Transforming Unreliable Sensor Data for Reliable Recognition - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  335. Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Cover-GAN

  336. Generative Temporal Models with Memory? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Citation: 7

  337. Generative Visual Manipulation on the Natural Image Manifold - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/9 Interactive Image generation iGAN Citation: 102 Stars: 2364

  338. Geometric GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Geometric GAN Citation: 1

  339. Geometry Guided Adversarial Facial Expression Synthesis - (Search) (Scholar) (PDF)(arXiv) - 2017/12 G2-GAN

  340. Geometry Score: A Method For Comparing Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  341. Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  342. Global and Local Consistent Age Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  343. Global versus Localized Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/11 LGAN

  344. Globally and Locally Consistent Image Completion - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/7 Image Inpainting

  345. Good Semi-supervised Learning that Requires a Bad GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Semi-supervised learning Citation: 7

  346. GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision GP-GAN

  347. GP-GAN: Towards Realistic High-Resolution Image Blending? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/3 Image blending GP-GAN Citation: 3 Stars: 80

  348. Gradient descent GAN optimization is locally stable? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Theory & Machine Learning Citation: 1

  349. Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  350. GraphGAN: Graph Representation Learning with Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  351. Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  352. Guiding InfoGAN with Semi-Supervision? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision ss-InfoGAN Citation: 1

  353. Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples - (Search) (Scholar) (PDF)(arXiv) - 2017/11 GANDI

  354. Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders - (Search) (Scholar) (PDF)(arXiv) - 2017/ None

  355. Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision

  356. Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture - (Search) (Scholar) (PDF)(arXiv) - 2017/11 FTGAN

  357. High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  358. High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  359. High-Quality Face Image Super-Resolution Using Conditional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Super-Resolution

  360. High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision PS��-GAN Citation: 1

  361. High-Resolution Deep Convolutional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 HR-DCGAN

  362. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/11 Image translation pix2pixHD Stars: 1254

  363. High-throughput, high-resolution Generated Adversarial Network Microscopy - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  364. Hockey-Stick GAN - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  365. How Generative Adversarial Networks and its variants Work: An Overview of GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Overview

  366. How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Medical: Synthersize Applied Vision

  367. How to train Gans - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/ GAN Theory Stars: 2961

  368. How to Train Your DRAGAN? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/5 Theory & Machine Learning DRAGAN Citation: 9 Stars: 101

  369. How Well Can Generative Adversarial Networks (GAN) Learn Densities: A Nonparametric View - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  370. HP-GAN: Probabilistic 3D human motion prediction via GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/11 HP-GAN

  371. HyperGAN - (Search) (Scholar) (PDF)(github) - :octocat: 2017/ HyperGAN Stars: 688

  372. Image De-raining Using a Conditional Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/1 Image Editing ID-CGAN Citation: 11 Stars: 77

  373. Image Generation and Editing with Variational Info Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/1 Applied Vision ViGAN Citation: 1

  374. Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Theory & Machine Learning

  375. Image super-resolution through deep learning - (Search) (Scholar) (PDF)(github) - 🎯 2016/8 Super-Resolution Citation: 553

  376. Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 Medical

  377. Image-to-Image Translation with Conditional Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/11 Image translation pix2pix Citation: 320 Stars: 4233

  378. Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  379. Imitating Driver Behavior with Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/1 Applied Vision Citation: 11

  380. Improve Training Stability of Semi-supervised Generative Adversarial Networks with Collaborative Training - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  381. Improved Adversarial Systems for 3D Object Generation and Reconstruction? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/7 Applied Vision 3D-IWGAN Stars: 14

  382. Improved generator objectives for GANs? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Citation: 10

  383. Improved Semi-supervised Learning with GANs using Manifold Invariances? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Citation: 11

  384. Improved Techniques for Training GANs - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/6 Generation High-Quality Images Citation: 442 Stars: 1150

  385. Improved Techniques for Training GANs? - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - 🎯 :octocat: 2016/6 Improved GAN Citation: 436 Stars: 1149

  386. Improved Training of Generative Adversarial Networks Using Representative Features - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  387. Improved Training of Wasserstein GANs - (Search) (Scholar) (PDF)(arXiv) (github) (PyTorch) - 🎯 :octocat: 2017/4 Generation High-Quality Images WGAN-GP Citation: 134 Stars: 856

  388. Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  389. Improving Discriminator-Generator Balance in Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  390. Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  391. Improving GANs Using Optimal Transport - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  392. Improving Generative Adversarial Networks with Denoising Feature Matching - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/3 GAN Theory Stars: 12

  393. Improving Heterogeneous Face Recognition with Conditional Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision Citation: 1

  394. Improving image generative models with human interactions? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision

  395. Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/3 CS-GAN

  396. Improving the Improved Training of Wasserstein GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  397. Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  398. Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  399. Improving Variational Inference with Inverse Autoregressive Flow? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2016/6 Citation: 82

  400. In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 In2I

  401. Incremental Classifier Learning with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  402. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets? - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - 🎯 :octocat: 2016/6 Conditional adversarial InfoGAN Citation: 227 Stars: 544

  403. Instance Map based Image Synthesis with a Denoising Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  404. Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  405. Interactive 3D Modeling with a Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Vision Citation: 6

  406. Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions - (Search) (Scholar) (PDF)(arXiv) - 2018/1 None

  407. Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision Citation: 1

  408. Introducing Adversarial Dropout in Generative Multi-Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  409. Invertible Conditional GANs for image editing - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/11 Image Editing IcGAN Citation: 25 Stars: 160

  410. Inverting The Generator Of A Generative Adversarial Network (II) - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  411. Inverting The Generator Of A Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Theory & Machine Learning Citation: 10

  412. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models - (Search) (Scholar) (PDF)(arXiv) - 2017/5 IRGAN

  413. Is Generator Conditioning Causally Related to GAN Performance? - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  414. It Takes (Only) Two: Adversarial Generator-Encoder Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Theory & Machine Learning Citation: 9

  415. Iterative GANs for Rotating Visual Objects - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  416. IVE-GAN: Invariant Encoding Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 IVE-GAN

  417. Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  418. KBGAN: Adversarial Learning for Knowledge Graph Embeddings - (Search) (Scholar) (PDF)(arXiv) - 2017/11 KBGAN

  419. KGAN: How to Break The Minimax Game in GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Theory & Machine Learning KGAN

  420. Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision LDAN Citation: 1

  421. Language and Noise Transfer in Speech Enhancement Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/12 LNT-SEGAN

  422. Language Generation with Recurrent Generative Adversarial Networks without Pre-training? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/6 Applied Other RNN-WGAN Citation: 4 Stars: 153

  423. Learning a Driving Simulator? - (Search) (Scholar) (PDF)(arXiv) - 2016/8 Applied Vision Citation: 25

  424. Learning a Generative Adversarial Network for High Resolution Artwork Synthesis? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision

  425. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/10 3D 3D-GAN Citation: 99 Stars: 281

  426. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling - (Search) (Scholar) (PDF)(github) (Web) - 2017/ 3D Object generation

  427. Learning Compositional Visual Concepts with Mutual Consistency - (Search) (Scholar) (PDF)(arXiv) - 2017/11 ConceptGAN

  428. Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE - (Search) (Scholar) (PDF)(arXiv) - 2017/7 SteinGAN

  429. Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions - (Search) (Scholar) (PDF)(arXiv) - 2017/12 DF-GAN

  430. Learning from Simulated and Unsupervised Images through Adversarial Training - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - 🎯 :octocat: 2016/12 Synthetic Data Generation SimGAN Citation: 80 Stars: 264

  431. Learning Graph Topological Features via GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  432. Learning in Implicit Generative Models? - (Search) (Scholar) (PDF)(arXiv) - 2016/10 Theory & Machine Learning Citation: 43

  433. Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/3 AEGAN

  434. Learning Loss for Knowledge Distillation with Conditional Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Theory & Machine Learning

  435. Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/1 Physics Synthesis LAGAN

  436. Learning Representations and Generative Models for 3D Point Clouds - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  437. Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Citation: 6

  438. __Learning Residual Images for Face Attribute Manipulation __ - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/4 Face Generative and Editing Stars: 26

  439. Learning Temporal Transformations from Time-lapse Videos? - (Search) (Scholar) (PDF)(arXiv) - 2016/9

  440. Learning Texture Manifolds with the Periodic Spatial GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning PSGAN Citation: 2

  441. Learning to Avoid Errors in GANs by Manipulating Input Spaces - (Search) (Scholar) (PDF)(arXiv) - 2017/7

  442. Learning to Discover Cross-Domain Relations with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) (PyTorch) - 🎯 :octocat: 2017/3 Image translation DiscoGAN Citation: 54 Stars: 601

  443. Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  444. Learning to Fuse Music Genres with Generative Adversarial Dual Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/12 FusionGAN

  445. Learning to Generate Chairs with Generative Adversarial Nets? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Vision

  446. Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts - (Search) (Scholar) (PDF)(arXiv) - 2016/12 AL-CGAN Citation: 7

  447. Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision MD-GAN

  448. Learning to Protect Communications with Adversarial Neural Cryptography? - (Search) (Scholar) (PDF)(arXiv) - 2016/10 Applied Other Citation: 21

  449. Learning What and Where to Draw - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/10 Text2Image GAWWN Citation: 49 Stars: 277

  450. Least Squares Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) (Web) - 🎯 2016/11 GAN Theory LSGAN Citation: 58 Stars: 8

  451. Likelihood Estimation for Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/7 LeGAN

  452. Linear Discriminant Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/7 LD-GAN

  453. Link Prediction through Deep Learning - (Search) (Scholar) (PDF)(arXiv) - 2018/1 BioarXiv

  454. Linking Generative Adversarial Learning and Binary Classification? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Theory & Machine Learning

  455. Load Balanced GANs for Multi-view Face Image Synthesis - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  456. Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  457. Long Text Generation via Adversarial Training with Leaked Information - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/9 Applied Other LeakGAN Stars: 105

  458. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - :octocat: 2017/1 Theory & Machine Learning LS-GAN Citation: 24 Stars: 181

  459. Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Medical: LD-CT Applied Vision Citation: 1

  460. LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Theory & Machine Learning LR-GAN Citation: 13

  461. MAGAN: Aligning Biological Manifolds - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  462. MAGAN: Margin Adaptation for Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Theory & Machine Learning MAGAN Citation: 8

  463. Manifold-valued Image Generation with Wasserstein Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 manifold-WGAN

  464. Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step - (Search) (Scholar) (PDF)(arXiv) - 2017/10

  465. MARTA GANs Unsupervised Representation Learning for Remote Sensing Image Classification? - (Search) (Scholar) (PDF)(arXiv) - 2017/ None

  466. MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Applied Vision MARTA-GAN Citation: 1

  467. MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Applied Vision Citation: 1

  468. __MaskGAN: Better Text Generation via Filling in the _________ - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018 Top100

  469. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 For discrete distributions MaliGAN Citation: 13

  470. McGan: Mean and Covariance Feature Matching GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Theory & Machine Learning McGAN Citation: 14

  471. Medical Image Synthesis with Context-Aware Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Medical: Synthersize

  472. Megapixel Size Image Creation using Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Vision Citation: 3

  473. Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  474. Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  475. Message Passing Multi-Agent GANs - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Theory & Machine Learning MPM-GAN Citation: 4

  476. Metric Learning-based Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/11 MLGAN

  477. MGAN: Training Generative Adversarial Nets with Multiple Generators - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  478. Microscopy Cell Segmentation via Adversarial Neural Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision

  479. MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions? - (Search) (Scholar) (PDF)(arXiv) - 2017/3 MUSIC Citation: 2

  480. MMD GAN: Towards Deeper Understanding of Moment Matching Network? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/5 Theory & Machine Learning MMD-GAN Citation: 19 Stars: 72

  481. MMGAN: Manifold Matching Generative Adversarial Network for Generating Images - (Search) (Scholar) (PDF)(arXiv) - 2017/7 MMGAN

  482. MoCoGAN: Decomposing Motion and Content for Video Generation? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/7 Video Prediction and Generation MoCoGAN Citation: 11 Stars: 103

  483. Mode Regularized Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/3 GAN Theory

  484. Mode Regularized Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Theory & Machine Learning MDGAN Citation: 50

  485. Modeling urbanization patterns with generative adversarial networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  486. MR-to-CT Synthesis using Cycle-Consistent Generative Adversarial Networks - (Search) (Scholar) (PDF) - 2017/

  487. __Multi-Agent Diverse Generative Adversarial Networks __ - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Theory & Machine Learning MAD-GAN Citation: 6

  488. Multi-Content GAN for Few-Shot Font Style Transfer - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/12 MC-GAN Stars: 5

  489. Multi-Content GAN for Few-Shot Font Style Transfer - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  490. Multi-Generator Gernerative Adversarial Nets? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Theory & Machine Learning MGGAN Citation: 4

  491. Multi-view Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Applied Vision MV-BiGAN Citation: 2

  492. Multi-View Image Generation from a Single-View? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 VariGAN Citation: 11

  493. Multimodal Storytelling via Generative Adversarial Imitation Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/12 MIL-GAN

  494. MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Other MuseGAN

  495. NAG: Network for Adversary Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  496. NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  497. NetGAN: Generating Graphs via Random Walks - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  498. Neural Face Editing with Intrinsic Image Disentangling? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Face Generative and Editing Citation: 11

  499. Neural Photo Editing with Introspective Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/9 Face Generative and Editing IAN Citation: 37 Stars: 1608

  500. Neural Stain-Style Transfer Learning using GAN for Histopathological Images? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision

  501. No Modes left behind: Capturing the data distribution effectively using GANs - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  502. NOVEL AND EFFECTIVE PARALLEL MIX-GENERATOR GENERATIVE ADVERSARIAL NETWORKS - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  503. Novelty Detection with GAN - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  504. Novelty Detection with GAN - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  505. Object Discovery By Generative Adversarial & Ranking Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  506. Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning ORGAN Citation: 3

  507. On Convergence and Stability of GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  508. On Convergence and Stability of GANs? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Citation: 9

  509. On reproduction of On the regularization of Wasserstein GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  510. On the convergence properties of GAN training - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  511. On the difference between building and extracting patterns: a causal analysis of deep generative models. - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  512. On the Discrimination-Generalization Tradeoff in GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  513. On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/4 Theory & Machine Learning Stars: 156

  514. On the Effectiveness of Least Squares Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  515. On the limitations of first order approximation in GAN dynamics - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  516. On the Quantitative Analysis of Decoder-Based Generative Models? - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Theory & Machine Learning Citation: 36

  517. On the regularization of Wasserstein GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  518. On Unifying Deep Generative Models - (Search) (Scholar) (PDF)(arXiv) - 2017/6 IWGAN

  519. On Unifying Deep Generative Models - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  520. One-Class Adversarial Nets for Fraud Detection - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  521. One-Sided Unsupervised Domain Mapping - (Search) (Scholar) (PDF)(arXiv) - 2017/6 DistanceGAN

  522. One-to-Many Network for Visually Pleasing Compression Artifacts Reduction? - (Search) (Scholar) (PDF)(arXiv) - 2016/11

  523. Optimizing the Latent Space of Generative Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Theory & Machine Learning Citation: 4

  524. OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/9 OptionGAN

  525. Outline Colorization through Tandem Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Applied Vision TAN Citation: 2

  526. PacGAN: The power of two samples in generative adversarial networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 PacGAN

  527. Parametric 3D Exploration with Stacked Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/ 3D Object generation Pix2vox

  528. Parametric Adversarial Divergences are Good Task Losses for Generative Modeling - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  529. Parametrizing filters of a CNN with a GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Theory & Machine Learning

  530. PassGAN: A Deep Learning Approach for Password Guessing - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/9 PassGAN Stars: 281

  531. PBGAN: Partial Binarization of Deconvolution Based Generators - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  532. Perceptual Adversarial Networks for Image-to-Image Transformation? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Vision PAN Citation: 4

  533. Perceptual Generative Adversarial Networks for Small Object Detection? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Object Detection Perceptual GAN Citation: 10

  534. Personalized and Occupational-aware Age Progression by Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  535. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - 🎯 :octocat: 2016/9 Super-resolution SRGAN Citation: 281 Stars: 486

  536. Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  537. Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Pip-GAN

  538. Pixel-Level Domain Transfer? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/3 Conditional adversarial PixelDTGAN Citation: 30 Stars: 162

  539. PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples - (Search) (Scholar) (PDF)(arXiv) - 2017/10

  540. PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018 Top100, New

  541. PixelGAN Autoencoders? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Theory & Machine Learning PixelGAN Citation: 3

  542. PixelSNAIL: An Improved Autoregressive Generative Model - (Search) (Scholar) (PDF)(arXiv) - 2017/12 PixelSNAIL

  543. Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/12 PPGN Citation: 58 Stars: 423

  544. Pose Guided Person Image Generation? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Human Pose Estimation Citation: 7

  545. Pose-Normalized Image Generation for Person Re-identification - (Search) (Scholar) (PDF)(arXiv) - 2017/12 PN-GAN

  546. Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2016/2 Citation: 103

  547. Precise Recovery of Latent Vectors from Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Citation: 9

  548. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 2016/4 Texture Synthesis & style transfer MGAN Citation: 74

  549. Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1 None

  550. Privacy-preserving generative deep neural networks support clinical data sharing - (Search) (Scholar) (PDF)(arXiv) - 2017/11 BioarXiv

  551. Probabilistic Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/8 PGAN

  552. Progressive Growing of GANs for Improved Quality, Stability, and Variation - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  553. __Progressive Growing of GANs for Improved Quality, Stability, and Variation __ - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/10 Generation High-Quality Images PGoGAN Stars: 1745

  554. Pros and Cons of GAN Evaluation Measures - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  555. Quantitatively Evaluating GANs With Divergences Proposed for Training - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  556. Quantitatively Evaluating GANs With Divergences Proposed for Training - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  557. RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  558. Real-Time Adaptive Image Compression? - (Search) (Scholar) (PDF)(arXiv) - 2017/5

  559. Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Medical: ICU prediction RCGAN

  560. Reconstruction of three-dimensional porous media using generative adversarial neural networks? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/4 3D Citation: 6 Stars: 19

  561. Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  562. Recurrent Topic-Transition GAN for Visual Paragraph Generation - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Applied Vision RTT-GAN Citation: 14

  563. __Relaxed Wasserstein with Applications to GANs __ - (Search) (Scholar) (PDF)(arXiv) - 2017/5 RWGAN Citation: 4

  564. RenderGAN: Generating Realistic Labeled Data? - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Applied Vision RenderGAN Citation: 7

  565. Representation Learning and Adversarial Generation of 3D Point Clouds? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision l-GAN Citation: 1

  566. Representation Learning by Rotating Your Faces - (Search) (Scholar) (PDF)(arXiv) - 2017/5 DR-GAN

  567. Restricting Greed in Training of Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  568. Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision

  569. Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Medical: Segmentation Applied Vision Citation: 2

  570. Robust GANs against Dishonest Adversaries - (Search) (Scholar) (PDF)(arXiv) - 2018/2 New

  571. Robust LSTM-Autoencoders for Face De-Occlusion in the Wild? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Disocclusion Citation: 4

  572. Robust Speech Recognition Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  573. SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Applied Vision SAD-GAN Citation: 1

  574. SafetyNet: Detecting and Rejecting Adversarial Examples Robustly - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Adversarial Examples (Defense vs Attack)

  575. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) (Web) - :octocat: 2017/1 Visual Saliency Prediction (attention prediction) SalGAN Citation: 11 Stars: 131

  576. Sampling Generative Networks - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/9 GAN Theory Citation: 10 Stars: 176

  577. Sampling Neuron Morphologies - (Search) (Scholar) (PDF)(arXiv) - 2018/1 BioarXiv

  578. Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier<Framework - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  579. SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays? - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Medical: Segmentation Citation: 6

  580. SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  581. SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Medical: Segmentation Theory & Machine Learning SegAN Citation: 4

  582. SeGAN: Segmenting and Generating the Invisible? - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Applied Vision SeGAN Citation: 2

  583. SEGAN: Speech Enhancement Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/3 Applied Other SEGAN Citation: 20 Stars: 192

  584. Selecting the Best in GANs Family: a Post Selection Inference Framework - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  585. Selecting the Best in GANs Family: a Post Selection Inference Framework - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  586. Selective Sampling and Mixture Models in Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  587. Self Adversarial Training for Human Pose Estimation? - (Search) (Scholar) (PDF)(arXiv) - 2017/7

  588. Semantic Image Inpainting with Deep Generative Models? - (Search) (Scholar) (PDF)(arXiv) - 2016/7 Applied Vision Citation: 11

  589. Semantic Image Inpainting with Perceptual and Contextual Losses? - (Search) (Scholar) (PDF)(arXiv) (github) - 2016/7 Image Inpainting Citation: 48

  590. Semantic Image Synthesis via Adversarial Learning? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision Citation: 2

  591. Semantic Segmentation using Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Semantic Segmentation Citation: 40

  592. Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  593. Semantically Decomposing the Latent Spaces of Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  594. Semantically Decomposing the Latent Spaces of Generative Adversarial Networks (SD-GAN)? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Vision SD-GAN Citation: 5

  595. Semi-Latent GAN: Learning to generate and modify facial images from attributes - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Applied Vision SL-GAN Citation: 5

  596. Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets - (Search) (Scholar) (PDF) - 2017/9 Medical: Classification

  597. Semi-supervised Conditional GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/8 SS-GAN

  598. Semi-supervised FusedGAN for Conditional Image Generation - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  599. Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Image Inpainting SSL-GAN Citation: 8

  600. Semi-Supervised Learning with Deep Generative Models? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2014/6 Citation: 367

  601. Semi-Supervised Learning With GANs: Revisiting Manifold Regularization - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  602. Semi-Supervised Learning with IPM-based GANs: an Empirical Study - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  603. Semi-Supervised QA with Generative Domain-Adaptive Nets - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Semi-supervised learning

  604. Semi-supervised Regression with Generative Adversarial Networks for End to End Learning in Autonomous Driving - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  605. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/9 Theory & Machine Learning SeqGAN Citation: 73 Stars: 858

  606. SGAN: An Alternative Training of Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 SGAN

  607. Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/11 3D-ED-GAN

  608. Sharpness-aware Low dose CT denoising using conditional generative adversarial network? - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/8 Medical: LD-CT Applied Vision SAGAN Stars: 3

  609. Simple Black-Box Adversarial Perturbations for Deep Networks? - (Search) (Scholar) (PDF)(arXiv) - 2016/12 Theory & Machine Learning Citation: 10

  610. Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision CDcGAN

  611. Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  612. Sobolev GAN - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Sobolev GAN

  613. Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision

  614. Softmax GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Theory & Machine Learning Softmax-GAN Citation: 2

  615. Solving Approximate Wasserstein GANs to Stationarity - (Search) (Scholar) (PDF)(arXiv) - 2018/2 New

  616. Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees - (Search) (Scholar) (PDF)(arXiv) - 2018/2 New

  617. Spatially Transformed Adversarial Examples - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018 Top100, New

  618. Spectral Image Visualization Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  619. Spectral Normalization for Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - :octocat: 2017/8 Normalization SN-GAN Stars: 197

  620. Spectral Normalization for Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018 Top100

  621. Spectral Normalization for Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  622. Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  623. SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  624. SSGAN: Secure Steganography Based on Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Other SSGAN

  625. ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  626. ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/ Image translation

  627. Stabilizing Adversarial Nets with Prediction Methods - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  628. Stabilizing GAN Training with Multiple Random Projections - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/5 RPGAN

  629. Stabilizing GAN Training with Multiple Random Projections - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  630. Stabilizing Training of Generative Adversarial Networks through Regularization? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning ED//GAN Citation: 6

  631. Stable Distribution Alignment Using the Dual of the Adversarial Distance - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  632. Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal - (Search) (Scholar) (PDF)(arXiv) - 2017/12 ST-CGAN

  633. Stacked Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2016/12 Theory & Machine Learning SGAN Citation: 33 Stars: 171

  634. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/10 Applied Vision StackGAN-v2 Citation: 2 Stars: 270

  635. StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/12 Generation High-Quality Images StackGAN Citation: 99 Stars: 956

  636. Staff line Removal using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  637. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/11 Face Generative and Editing StarGAN Stars: 1934

  638. Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  639. Statistics of Deep Generated Images? - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Theory & Machine Learning

  640. Steganographic Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Applied Other SGAN Citation: 4

  641. Stochastic Deconvolutional Neural Network Ensemble Training on Generative Pseudo-Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  642. Stochastic reconstruction of an oolitic limestone by generative adversarial networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  643. Stopping GAN Violence: Generative Unadversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/3

  644. Structured Generative Adversarial Networks? - (Search) (Scholar) (PDF) - 2017/ Theory & Machine Learning StructuredGAN

  645. Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Vision Citation: 3

  646. Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/2 Games ST-GAN

  647. Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/12 Super-FAN

  648. Supervised Adversarial Networks for Image Saliency Detection? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Applied Vision Citation: 1

  649. SVSGAN: Singing Voice Separation via Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2017/10 SVSGAN

  650. Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Medical: Synthersize Applied Vision

  651. Synthesizing Audio with GANs - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  652. Synthesizing Audio with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  653. Synthesizing Filamentary Structured Images with GANs? - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/6 Medical: Synthersize Applied Vision Fila-GAN

  654. Synthesizing realistic neural population activity patterns using Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  655. Synthesizing realistic neural population activity patterns using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  656. Synthesizing the preferred inputs for neurons in neural networks via deep generator networks? - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/5 Unclassified Citation: 64 Stars: 405

  657. Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  658. Synthetic Iris Presentation Attack using iDCGAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Applied Vision

  659. Synthetic Medical Images from Dual Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Medical: Synthersize Applied Vision

  660. TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/3 Text2Image TAC-GAN Citation: 1 Stars: 20

  661. Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/3 New

  662. Task-Aware Compressed Sensing with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  663. Tempered Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/2 ICLR2018

  664. tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  665. Temporal Generative Adversarial Nets with Singular Value Clipping? - (Search) (Scholar) (PDF)(arXiv) - 2016/11 TGAN Citation: 12

  666. Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization - (Search) (Scholar) (PDF)(arXiv) - 2017/11 TGAN

  667. Tensorizing Generative Adversarial Nets? - (Search) (Scholar) (PDF)(arXiv) - 2017/10 Theory & Machine Learning TGAN

  668. Text Generation Based on Generative Adversarial Nets with Latent Variable - (Search) (Scholar) (PDF)(arXiv) - 2017/12 VGAN

  669. Text2Action: Generative Adversarial Synthesis from Language to Action - (Search) (Scholar) (PDF)(arXiv) - 2017/10

  670. Texture Synthesis with Spatial Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2016/11 Applied Vision SGAN Citation: 5

  671. TextureGAN: Controlling Deep Image Synthesis with Texture Patches? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Domain-transfer TextureGAN Citation: 1

  672. TFGAN: A Lightweight Library for Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 TFGAN

  673. The Conditional Analogy GAN: Swapping Fashion Articles on People Images? - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Applied Vision

  674. The Cramer Distance as a Solution to Biased Wasserstein Gradients? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Theory & Machine Learning Cram?r GAN Citation: 13

  675. The Numerics of GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/5

  676. The Pose Knows: Video Forecasting by Generating Pose Futures - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Pose-GAN

  677. The Robust Manifold Defense: Adversarial Training using Generative Models - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  678. The Space of Transferable Adversarial Examples? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Citation: 12

  679. Theoretical limitations of Encoder-Decoder GAN architectures - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  680. Toward Multimodal Image-to-Image Translation - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/11 BicycleGAN Stars: 290

  681. Towards a Testable Notion of Generalization for Generative Adversarial Networks - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  682. Towards Adversarial Retinal Image Synthesis - (Search) (Scholar) (PDF)(arXiv) - 2017/1 Medical: Synthersize Applied Vision

  683. Towards an Understanding of Our World by GANing Videos in the Wild - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/11 iVGAN Stars: 267

  684. Towards Diverse and Natural Image Descriptions via a Conditional GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Applied Vision Citation: 9

  685. Towards Effective GANs for Data Distributions with Diverse Modes - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  686. Towards Grounding Conceptual Spaces in Neural Representations? - (Search) (Scholar) (PDF)(arXiv) - 2017/6 Applied Other

  687. Towards Large-Pose Face Frontalization in the Wild - (Search) (Scholar) (PDF)(arXiv) - 2017/4 FF-GAN Citation: 8

  688. Towards Principled Methods for Training Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2017/1 GAN Theory Citation: 121

  689. Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12 GAN-RS

  690. Towards Quality Advancement of Underwater Machine Vision with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  691. Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  692. Towards the Automatic Anime Characters Creation with Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/8 Anime character generation AnimeGAN Stars: 258

  693. Towards Understanding Adversarial Learning for Joint Distribution Matching? - (Search) (Scholar) (PDF)(arXiv) - 2017/9

  694. Towards Understanding the Dynamics of Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/6 GMM-GAN

  695. Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks?[ICCV2017 workshop] - (Search) (Scholar) (PDF) - 2017/ Medical: Synthersize

  696. Training GANs with Optimism - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  697. Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN - (Search) (Scholar) (PDF)(arXiv) - 2018/2

  698. TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  699. Training generative neural networks via Maximum Mean Discrepancy optimization - (Search) (Scholar) (PDF)(arXiv) - 🎯 2015/5 Theory & Machine Learning Citation: 61

  700. Training Triplet Networks with GAN? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Citation: 1

  701. Transformation-Grounded Image Generation Network for Novel 3D View Synthesis - (Search) (Scholar) (PDF)(arXiv) (github) (Web) - 2017/3 3D Stars: 7

  702. Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network - (Search) (Scholar) (PDF)(arXiv) - 2018/2 Medical

  703. Triangle Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/9 Image translation ��-GAN

  704. Triple Generative Adversarial Nets - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/3 Theory & Machine Learning Triple-GAN Citation: 19 Stars: 89

  705. TripletGAN: Training Generative Model with Triplet Loss - (Search) (Scholar) (PDF)(arXiv) - 2017/11 tripletGAN

  706. TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition - (Search) (Scholar) (PDF)(arXiv) - 2017/12 TV-GAN

  707. Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/11 Iterative-GAN Stars: 6

  708. Understanding GANs: the LQG Setting - (Search) (Scholar) (PDF)(arXiv) - 2017/10

  709. Universal Adversarial Perturbations Against Semantic Image Segmentation? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Citation: 7

  710. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro? - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/1 Improving Classification And Recong Person-reID_GAN Citation: 35 Stars: 89

  711. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) (PyTorch) - 🎯 :octocat: 2017/3 Image translation CycleGAN Citation: 153 Stars: 5438

  712. Unrolled Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/11 GAN Theory Unrolled GAN Citation: 75 Stars: 209

  713. Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 🎯 2015/11 Semi-supervised learning CatGAN Citation: 92

  714. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery - (Search) (Scholar) (PDF)(arXiv) - 2017/3 Medical: Detection Applied Vision AnoGAN Citation: 6

  715. Unsupervised Cipher Cracking Using Discrete GANs - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  716. Unsupervised Cipher Cracking Using Discrete GANs - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  717. Unsupervised Cipher Cracking Using Discrete GANs - (Search) (Scholar) (PDF)(Web) - 2018/1 ICLR2018

  718. Unsupervised Creation of Parameterized Avatars - (Search) (Scholar) (PDF)(arXiv) - 2017/4 Domain-transfer

  719. Unsupervised Cross-Domain Image Generation - (Search) (Scholar) (PDF)(arXiv) (github) - 🎯 :octocat: 2016/11 Image translation DTN Citation: 62 Stars: 605

  720. Unsupervised Diverse Colorization via Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Applied Vision Citation: 3

  721. Unsupervised Domain Adaptation for Semantic Segmentation with GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/11

  722. Unsupervised Generative Adversarial Cross-modal Hashing - (Search) (Scholar) (PDF)(arXiv) - 2017/12 UGACH

  723. Unsupervised Histopathology Image Synthesis - (Search) (Scholar) (PDF)(arXiv) - 2017/12 Medical: Synthersize Image Synthersize

  724. Unsupervised Image-to-Image Translation Networks - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/3 CoupledGAN Stars: 713

  725. Unsupervised Image-to-Image Translation with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/1 Image translation Citation: 10

  726. Unsupervised Image-to-Image Translation with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/1 Image translation

  727. __Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks __ - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Medical: Classification

  728. Unsupervised Learning for Physical Interaction through Video Prediction? - (Search) (Scholar) (PDF)(arXiv) - 🎯 2016/5 Citation: 99

  729. Unsupervised Pixel?Level Domain Adaptation with Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) (github) - 2016/12 Robotics

  730. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) (PyTorch) (KERAS) - 🎯 :octocat: 2015/11 Generation High-Quality Images DCGAN Citation: 901 Stars: 3400

  731. Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Medical: Synthersize

  732. Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Applied Vision

  733. Use of Generative Adversarial Network for Cross-Domain Change Detection - (Search) (Scholar) (PDF)(arXiv) - 2017/12

  734. Variance Regularizing Adversarial Learning - (Search) (Scholar) (PDF)(arXiv) - 2017/7 VRAL

  735. Variational Approaches for Auto-Encoding Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/6 ��-GAN Stars: 41

  736. Variational Autoencoder: An Unsupervised Model for Modeling and Decoding fMRI Activity in Visual Cortex - (Search) (Scholar) (PDF)(arXiv) - 2018/1 BioarXiv

  737. VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning ()? - (Search) (Scholar) (PDF)(arXiv) (github) - 2017/5 VEEGAN Citation: 4 Stars: 8

  738. Video Imagination from a Single Image with Transformation Generation? - (Search) (Scholar) (PDF)(arXiv) - 2017/6

  739. Video Super-Resolution using Temporal Fusion Generative Adversarial Network - (Search) (Scholar) (PDF) - 2016/

  740. VIGAN: Missing View Imputation with Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2017/8 Applied Vision VIGAN

  741. VIME: Variational Information Maximizing Exploration? - (Search) (Scholar) (PDF)(arXiv) - 2016/5 Citation: 37

  742. Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results - (Search) (Scholar) (PDF)(arXiv) - 2017/7 Medical: Synthersize

  743. Visual Feature Attribution using Wasserstein GANs - (Search) (Scholar) (PDF)(arXiv) - 2017/11 Medical: Detection

  744. Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks? - (Search) (Scholar) (PDF)(arXiv) - 2017/4 VAW-GAN Citation: 8

  745. Voice Impersonation using Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/2 None

  746. Wasserstein GAN (WGAN)? - (Search) (Scholar) (PDF)(arXiv) (github) (TensorFlow) - 🎯 :octocat: 2017/1 GAN Theory WGAN Citation: 314 Stars: 1539

  747. WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images? - (Search) (Scholar) (PDF)(arXiv) - 2017/2 Applied Vision WaterGAN Citation: 2

  748. Weakly Supervised Generative Adversarial Networks for 3D Reconstruction? - (Search) (Scholar) (PDF)(arXiv) - 2017/5 Applied Vision WS-GAN Citation: 3

  749. Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) - 2018/1

  750. XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings - (Search) (Scholar) (PDF)(arXiv) - 2017/11 XGAN

  751. zi2zi: Master Chinese Calligraphy with Conditional Adversarial Networks - (Search) (Scholar) (PDF)(arXiv) (github) - :octocat: 2017/4 Font Generation Stars: 760

  752. ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network - (Search) (Scholar) (PDF)(arXiv) - 2017/11 ZipNet-GAN


GAN counter: 752

Modified: Monday, Mar 12 2018 / 21:39:10

MIT (c) 2017, 2018 Jonathan Jeon

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