All About the GANs

All About the GANs

Latest version : https://github.com/hollobit/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 summarized 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

• [GAN zoo] - A list of all named GANs! by hindupuravinash
• Delving deep into Generative Adversarial Networks (GANs) [Delving]
• Awesome GAN for Medical Imaging by GKalliatakis [Medical] by xinario
• [Adversarial Nets Papers] The classic about Generative Adversarial Networks
• [Really Awesome GAN] by nightrome
• [GANs Paper Collection] by shawnyuen
• Collection of generative models in [Pytorch version], [Tensorflow version], [Chainer version]

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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.

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1. 3D Medical Image Synthesis using Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF)

   • 2017/ Citation:

2. 3D Object Reconstruction from a Single Depth View with Adversarial Learning? ( 3D-RecGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/8 Citation: 0 Applied Vision

3. 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network ( ORGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: 0

4. 3D Shape Induction from 2D Views of Multiple Objects (PrGAN)? ( PrGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 9 Applied Vision

5. A Classification-Based Perspective on GAN Distributions? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: 1 Theory & Machine Learning

6. A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 16 Theory & Machine Learning

7. A General Retraining Framework for Scalable Adversarial Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/4 Citation: 6 Theory & Machine Learning

8. A generative adversarial framework for positive-unlabeled classification ( GPU ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: 0

9. A Generative Model for Volume Rendering ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: Applied Other

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

• 2017/10 Citation: 0 Applied Vision

11. A step towards procedural terrain generation with GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 0 Applied Vision

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

• 2017/9 Citation:

13. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 12 Object Detection

14. ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks ( ABC-GAN ) - (Search) (Scholar) (PDF) (github)

• 2017/8 Citation: 0

15. Abnormal Event Detection in Videos using Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Applied Vision

16. Accelerated Magnetic Resonance Imaging by Adversarial Neural Network?[DLMIA MICCAI 2017] ( ) - (Search) (Scholar) (PDF)

• 2017/9 Citation: Medical: Reconstruction

17. Activation Maximization Generative Adversarial Nets ( AM-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: Theory & Machine Learning

18. ACtuAL: Actor-Critic Under Adversarial Learning ( ACtuAL ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

19. AdaGAN: Boosting Generative Models? ( AdaGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 19 Ensemble, Theory & Machine Learning

20. Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

21. Adversarial Attacks on Neural Network Policies? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 21

22. Adversarial Autoencoders? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2015/11 Citation: 163 Theory & Machine Learning

23. Adversarial Deep Structural Networks for Mammographic Mass Segmentation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 7 Semantic Segmentation

24. Adversarial Deep Structured Nets for Mass Segmentation from Mammograms ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/10 Citation: Medical: Segmentation

25. Adversarial Discriminative Domain Adaptation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 52 Theory & Machine Learning

26. Adversarial Examples for Semantic Segmentation and Object Detection? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 17

27. Adversarial Feature Learning (BiGAN)? ( BiGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/5 Citation: 142 Theory & Machine Learning

28. Adversarial Generation of Natural Language? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 4 Applied Other

29. Adversarial Generation of Training Examples for Vehicle License Plate Recognition? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 1 Applied Vision

30. Adversarial Generator-Encoder Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 9 Theory & Machine Learning

31. Adversarial Image Alignment and Interpolation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

32. Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 6

33. Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data?[SASHIMI 2017] ( ) - (Search) (Scholar) (PDF)

• 2017/9 Citation: Medical: Synthersize

34. Adversarial nets with perceptual losses for text-to-image synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Applied Vision

35. Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Applied Vision

36. Adversarial Networks for the Detection of Aggressive Prostate Cancer? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 3 Medical: Detection

37. Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 7 Applied Vision

38. Adversarial Ranking for Language Generation ( RankGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: Applied Other

39. Adversarial Representation Learning for Domain Adaptation ( ARDA ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

40. Adversarial training and dilated convolutions for brain MRI segmentation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: Medical: Segmentation

41. Adversarial Training For Sketch Retrieval (SketchGAN)? ( SketchGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/7 Citation: 4 Applied Vision

42. Adversarial Training Methods for Semi-Supervised Text Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/5 Citation: 9 Semi-supervised learning

43. Adversarial Transformation Networks: Learning to Generate Adversarial Examples ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 11

44. Adversarially Learned Inference (ALI)? ( ALI ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/6 Citation: 129 Joint Probability

45. Adversarially Regularized Autoencoders for Generating Discrete Structures ( ARAE ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/6 Citation:

46. AE-GAN: adversarial eliminating with GAN ( AE-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: Theory & Machine Learning

47. Aesthetic-Driven Image Enhancement by Adversarial Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 1 Applied Vision

48. Age Progression / Regression by Conditional Adversarial Autoencoder? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 12 Applied Vision

49. ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching? ( ALICE ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 5

50. AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks? ( AlignGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 2 Applied Vision

51. Amortised MAP Inference for Image Super-resolution (AffGAN)? ( AffGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/10 Citation: 52 Applied Vision

52. An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 0 Theory & Machine Learning

53. An Online Learning Approach to Generative Adversarial Networks ( Chekhov GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

54. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Applied Vision

55. APE-GAN: Adversarial Perturbation Elimination with GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 0 Theory & Machine Learning

56. Arbitrary Facial Attribute Editing: Only Change What You Want ( AttGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

57. Are GANs Created Equal? A Large-Scale Study ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

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

• 2017/11 Citation:

59. ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network? ( ARIGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Applied Vision

60. ArtGAN: Artwork Synthesis with Conditional Categorial GANs? ( ArtGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 1 Applied Vision

61. Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: 0 Applied Vision

62. Associative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 1 Theory & Machine Learning

63. Attend, infer, repeat: Fast scene understanding with generative models? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/3 Citation: 42

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

• 2017/11 Citation:

65. Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 3 Applied Vision

66. Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 2 Applied Vision

67. Autoencoding beyond pixels using a learned similarity metric (VAE-GAN)? ( VAE-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2015/12 Citation: 155 Face Generative and Editing

68. Automatic Liver Segmentation Using an Adversarial Image-to-Image Network? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 1 Medical: Segmentation

69. Bayesian Conditional Generative Adverserial Networks? ( BCGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 0 Theory & Machine Learning

70. Bayesian GAN? ( Bayesian GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 3 Theory & Machine Learning

71. BEGAN: Boundary Equilibrium Generative Adversarial Networks? ( BEGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/3 Citation: 82 Theory & Machine Learning

72. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis (TP-GAN)?(ICCV 2017) ( TP-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 26 Face Generative and Editing

73. Bidirectional Conditional Generative Adversarial networks ( BCGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

74. Binary Generative Adversarial Networks for Image Retrieval? ( BGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/8 Citation: 0 Theory & Machine Learning

75. Biomedical Data Augmentation Using Generative Adversarial Neural Networks?[ICANN 2017] ( ) - (Search) (Scholar) (PDF)

• 2017/10 Citation: Medical: Synthersize

76. Boundary-Seeking Generative Adversarial Networks (BS-GAN)? ( BS-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 18 For discrete distributions

77. C-RNN-GAN: Continuous recurrent neural networks with adversarial training? ( C-RNN-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/11 Citation: 12 RNN

78. CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks? ( CaloGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/5 Citation: 11

79. CAN: Creative Adversarial Networks Generating ��Art�� by Learning About Styles and Deviating from Style Norms? ( CAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 1 Applied Vision

80. CatGAN: Coupled Adversarial Transfer for Domain Generation ( CatGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

81. CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training ( CausalGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/9 Citation: 1 Theory & Machine Learning

82. Channel-Recurrent Variational Autoencoders ( crVAE-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

83. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: Applied Other

84. Chinese Typeface Transformation with Hierarchical Adversarial Network ( HAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

85. Class-Splitting Generative Adversarial Networks? ( Splitting GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 1 Theory & Machine Learning

86. cleverhans: A library for benchmarking vulnerability to adversarial examples ( CleverHANS ) - (Search) (Scholar) (PDF) (github)

• 2017/ Citation:

87. CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning? ( CM-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Theory & Machine Learning

88. Comparison of Maximum Likelihood and GAN-based training of Real NVPs? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 7 Theory & Machine Learning

89. Composition-aided Sketch-realistic Portrait Generation ( CA-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

90. Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks? ( RefineGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 1 Medical: Reconstruction

91. Conditional Adversarial Network for Semantic Segmentation of Brain Tumor? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Medical: Segmentation

92. Conditional Autoencoders with Adversarial Information Factorization ( IFcVAEGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

93. Conditional CycleGAN for Attribute Guided Face Image Generation? ( Conditional cycleGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 6 Theory & Machine Learning

94. Conditional Generative Adversarial Nets (CGAN)? ( CGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2014/11 Citation: 321 Conditional adversarial

95. Conditional generative adversarial nets for convolutional face generation? ( ) - (Search) (Scholar) (PDF)

• 2014/ Citation: 67 Applied Vision

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

• 2017/9 Citation:

97. Conditional Image Generation with PixelCNN Decoders? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/6 Citation: 140

98. Conditional Image Synthesis with Auxiliary Classifier GANs (AC-GAN)?(GoogleBrain ICLR 2017) ( AC-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/10 Citation: 86 Conditional adversarial

99. Connecting Generative Adversarial Networks and Actor-Critic Methods? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/10 Citation: 18 Theory & Machine Learning

100. Context Encoders: Feature Learning by Inpainting? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/4 Citation: 217 Image Inpainting

101. Context-Aware Generative Adversarial Privacy ( GAP ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation:

102. Contextual RNN-GANs for Abstract Reasoning Diagram Generation (Context-RNN-GAN)? ( Context-RNN-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/9 Citation: 6 Applied Vision

103. Continual Learning in Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 1 Theory & Machine Learning

104. Controllable Generative Adversarial Network? ( CGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Applied Vision

105. Controllable Invariance through Adversarial Feature Learning(NIPS 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/5 Citation: Improving Classification And Recong

106. Cooperative Training of Descriptor and Generator Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/9 Citation: 10 Theory & Machine Learning

107. Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields ( Coulomb GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation:

108. Coupled Generative Adversarial Networks ( CoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/6 Citation: 90 Image translation, Face Generative and Editing

109. Creatism: A deep-learning photographer capable of creating professional work? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 1 Applied Vision

110. Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 5 Applied Vision

111. CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training? ( CVAE-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 3 Applied Vision

112. Data Augmentation Generative Adversarial Networks ( DAGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

113. Data Augmentation in Classification using GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: 0 Applied Vision

114. Data Augmentation in Emotion Classification Using Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

115. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks ( DeblurGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/11 Citation:

116. Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images?[MICCAI17] ( ) - (Search) (Scholar) (PDF)

• 2017/9 Citation: Medical: Segmentation

117. Deep and Hierarchical Implicit Models (Bayesian GAN)? ( Bayesian GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/2 Citation: 24 Theory & Machine Learning

118. Deep De-Aliasing for Fast Compressive Sensing MRI ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: Medical: Reconstruction

119. Deep Generative Adversarial Compression Artifact Removal? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 1 Applied Vision

120. Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI? ( GANCS ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 9 Medical: Reconstruction

121. Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Medical: Synthesize

122. Deep Generative Filter for Motion Deblurring? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

123. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (LAPGAN)? ( LAPGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2015/6 Citation: 405 Applied Vision

124. Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 9

125. Deep MR to CT Synthesis using Unpaired Data ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: Medical: Synthersize

126. Deep multi-scale video prediction beyond mean square error?(Yann LeCun's paper) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2015/11 Citation: 200 Video Prediction and Generation

127. Deep Unsupervised Representation Learning for Remote Sensing Images (MARTA-GAN)? ( MARTA-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 1 Applied Vision

128. DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data? ( DeliGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/6 Citation: 7 Applied Vision

129. Demystifying AlphaGo Zero as AlphaGo GAN ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

130. Depth Structure Preserving Scene Image Generation? ( DSP-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 0 Applied Vision

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

• 2017/11 Citation:

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

133. Distributional Adversarial Networks ( DAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

134. DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images ( DNA-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

135. Do GANs actually learn the distribution? An empirical study ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

136. Dual Discriminator Generative Adversarial Nets ( D2GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

137. Dual Motion GAN for Future-Flow Embedded Video Prediction? ( DM-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 5 Applied Vision

138. DualGAN: Unsupervised Dual Learning for Image-to-Image Translation? ( DualGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 32 Applied Vision

139. Dualing GANs? ( Dualing GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 0 Theory & Machine Learning

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

• 2017/12 Citation:

141. 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 Citation:

142. End-to-end Adversarial Retinal Image Synthesis?[TMI]?(published vision of the above preprint) ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: Medical: Synthersize

143. Energy-Based GANs & other Adversarial things by Yann Le Cun? ( ) - (Search) (Scholar) (PDF) > - 2016/12 Citation:

144. Energy-based Generative Adversarial Network (EBGAN)?(Lecun paper) ( EBGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/9 Citation: 158 GAN Theory

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

• 2017/12 Citation:

146. Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation ( EnergyWGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

147. Enhanced Experience Replay Generation for Efficient Reinforcement Learning ( EGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation:

148. EnhanceGAN ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/ Citation: Super-Resolution

149. EnhanceNet Single Image Super-Resolution through Automated Texture Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation:

150. Ensembles of Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 4

151. Explaining and Harnessing Adversarial Examples? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2014/12 Citation: 536 Theory & Machine Learning

152. Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition ( FSEGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

153. Exposure A White-Box Photo Post-Processing Framework? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

154. ExprGAN: Facial Expression Editing with Controllable Expression Intensity? ( ExprGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 2 Applied Vision

155. Eye In-Painting with Exemplar Generative Adversarial Networks ( ExGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

156. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization? ( f-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/6 Citation: 114 Theory & Machine Learning

157. Face Aging With Conditional Generative Adversarial Networks? ( acGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 16 Applied Vision

158. Face Super-Resolution Through Wasserstein GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 1

159. Face Transfer with Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Applied Vision

160. Face Translation between Images and Videos using Identity-aware CycleGAN ( IdCycleGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

161. Feature Generating Networks for Zero-Shot Learning ( f-CLSWGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

162. Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 22

163. Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Applied Vision

164. Fisher GAN ( Fisher GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation:

165. Flow-GAN: Bridging implicit and prescribed learning in generative models? ( Flow-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 3 Theory & Machine Learning

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

• 2017/11 Citation:

167. Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 0 Medical: Synthersize

168. From source to target and back: symmetric bi-directional adaptive GAN? ( SBADA-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 5 Applied Vision

169. Full Resolution Image Compression with Recurrent Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/8 Citation: 29 Applied Vision

170. GAGAN: Geometry-Aware Generative Adverserial Networks ( GAGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

171. GAN Playground ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/ Citation:

172. Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking (GoGAN)? ( GoGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 5 Theory & Machine Learning

173. GANGs: Generative Adversarial Network Games ( GANG ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

174. GANosaic: Mosaic Creation with Generative Texture Manifolds ( GANosaic ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

175. GANs comparison without cherry-picking ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/9 Citation:

176. GANs for Biological Image Synthesis? ( GAN-sep ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/8 Citation: 3 Applied Vision

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

• 2017/11 Citation:

178. GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: For discrete distributions

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

• 2017/6 Citation:

180. GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data?(BMVC 2017) ( GeneGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/5 Citation: 4 Face Generative and Editing

181. Generalization and Equilibrium in Generative Adversarial Nets (MIX+GAN)?��ICML 2017�� ( MIX+GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 35 GAN Theory

182. Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation: Medical: Classification

183. Generate Identity-Preserving Faces by Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 2 Applied Vision

184. Generate To Adapt: Aligning Domains using Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 7 Applied Vision

185. Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN (MalGAN)? ( MalGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 15 Applied Other

186. Generating Images with Perceptual Similarity Metrics based on Deep Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/2 Citation: 96 Unclassified

187. Generating images with recurrent adversarial networks? ( GRAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/2 Citation: 56 Theory & Machine Learning

188. Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks (MedGAN)? ( MedGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 5 Medical: EHRR

189. Generating Videos with Scene Dynamics (VGAN)? ( VGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/9 Citation: 114 Video Prediction and Generation

190. Generative Adversarial Imitation Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/6 Citation: 61

191. Generative Adversarial Mapping Networks ( GAMN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

192. Generative Adversarial Models for People Attribute Recognition in Surveillance? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 1 Applied Vision

193. Generative Adversarial Nets from a Density Ratio Estimation Perspective ( b-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation:

194. Generative Adversarial Nets with Labeled Data by Activation Maximization (AMGAN) ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 2

195. Generative Adversarial Nets?(the First paper of GAN) ( GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2014/6 Citation: 1948 The First paper

196. Generative Adversarial Network based on Resnet for Conditional Image Restoration ( ResGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 0 Applied Vision

197. Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces? ( GAN-VFS ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 1 Applied Vision

198. Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN) ( SequenceGAN ) - (Search) (Scholar) (PDF) (github)

• 2017/ Citation:

199. Generative Adversarial Networks as Variational Training of Energy Based Models (ICLR 2017) ( VGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/11 Citation: 3 Theory & Machine Learning

200. Generative adversarial networks for brain lesion detection?[JMI] ( ) - (Search) (Scholar) (PDF)

• 2017/2 Citation: Medical: Detection

201. Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 1 Applied Vision

202. Generative Adversarial Networks for Noise Reduction in Low-Dose CT?[TMI] ( ) - (Search) (Scholar) (PDF)

• 2017/5 Citation: Medical: LD-CT

203. Generative Adversarial Networks with Inverse Transformation Unit? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Theory & Machine Learning

204. Generative Adversarial Networks: An Overview? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: Overview

205. Generative Adversarial Parallelization? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 3 Theory & Machine Learning

206. Generative Adversarial Residual Pairwise Networks for One Shot Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 6 Theory & Machine Learning

207. Generative Adversarial Structured Networks? ( ) - (Search) (Scholar) (PDF)

• 2017/ Citation: 1 Theory & Machine Learning

208. Generative Adversarial Text to Image Synthesis? ( GAN-CLS ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/5 Citation: 225 Generation High-Quality Images

209. Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 0

210. Generative Cooperative Net for Image Generation and Data Augmentation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 0 Theory & Machine Learning

211. Generative face completion?(CVPR2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/4 Citation: 15 Image Inpainting

212. Generative Image Modeling using Style and Structure Adversarial Networks (S^2GAN)? ( S^2GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/3 Citation: 82 Unclassified

213. Generative Mixture of Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 0

214. Generative Moment Matching Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2015/2 Citation: 120 Theory & Machine Learning

215. Generative Multi-Adversarial Networks? ( GMAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 19

216. Generative OpenMax for Multi-Class Open Set Classification(BMVC 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: Improving Classification And Recong

217. Generative Semantic Manipulation with Contrasting GAN? ( constrast-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Theory & Machine Learning

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

• 2017/11 Citation:

219. Generative Temporal Models with Memory? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 7

220. Generative Visual Manipulation on the Natural Image Manifold (iGAN)? ( iGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/9 Citation: 102 Applied Vision

221. Geometric GAN? ( Geometric GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 1 Theory & Machine Learning

222. Geometry Guided Adversarial Facial Expression Synthesis ( G2-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

223. Global versus Localized Generative Adversarial Nets ( LGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

224. Globally and Locally Consistent Image Completion (SIGGRAPH 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/7 Citation: Image Inpainting

225. Good Semi-supervised Learning that Requires a Bad GAN?(NIPS 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 7 Semi-supervised learning

226. GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks? ( GP-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Applied Vision

227. GP-GAN: Towards Realistic High-Resolution Image Blending? ( GP-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/3 Citation: 3 Image blending

228. Gradient descent GAN optimization is locally stable? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 1 Theory & Machine Learning

229. Guiding InfoGAN with Semi-Supervision? ( ss-InfoGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 1 Applied Vision

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

• 2017/11 Citation:

231. Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Applied Vision

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

• 2017/11 Citation:

233. High-Quality Face Image SR Using Conditional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 0 Applied Vision

234. High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks? ( PS��-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 1 Applied Vision

235. High-Resolution Deep Convolutional Generative Adversarial Networks ( HR-DCGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

236. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/11 Citation: Image translation

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

• 2017/11 Citation:

238. How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Medical: Synthersize

239. How to train Gans ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/ Citation: GAN Theory

240. How to Train Your DRAGAN? ( DRAGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/5 Citation: 9 Theory & Machine Learning

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

• 2017/12 Citation:

242. HP-GAN: Probabilistic 3D human motion prediction via GAN ( HP-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

243. HyperGAN ( ) - (Search) (Scholar) (PDF) (github)

• 2017/ Citation:

244. Image De-raining Using a Conditional Generative Adversarial Network (ID-CGAN) ( ID-CGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 11 Applied Vision

245. Image Generation and Editing with Variational Info Generative Adversarial Networks (ViGAN)? ( ViGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 1 Applied Vision

246. Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Theory & Machine Learning

247. Image super-resolution through deep learning ( ) - (Search) (Scholar) (PDF) (github)

• 2016/8 Citation: 553 Super-Resolution

248. Image-to-Image Translation with Conditional Adversarial Networks (pix2pix)? ( pix2pix ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/11 Citation: 320 Image translation

249. Imitating Driver Behavior with Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 11 Applied Vision

250. Improved Adversarial Systems for 3D Object Generation and Reconstruction? ( 3D-IWGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/7 Citation: 0 Applied Vision

251. Improved generator objectives for GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 10

252. Improved Semi-supervised Learning with GANs using Manifold Invariances? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 11 Theory & Machine Learning

253. Improved Techniques for Training GANs (Goodfellow's paper) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/6 Citation: 442 Generation High-Quality Images

254. Improved Techniques for Training GANs? ( Improved GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/6 Citation: 436

255. Improved Training of Wasserstein GANs (WGAN-GP)? ( WGAN-GP ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/4 Citation: 134 Generation High-Quality Images

256. Improving Generative Adversarial Networks with Denoising Feature Matching (Yoshua Bengio , ICLR 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/3 Citation: GAN Theory

257. Improving Heterogeneous Face Recognition with Conditional Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 1 Applied Vision

258. Improving image generative models with human interactions? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Applied Vision

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

• 2017/3 Citation:

260. Improving Variational Inference with Inverse Autoregressive Flow? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/6 Citation: 82

261. In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks ( In2I ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

262. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets? ( InfoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/6 Citation: 227 Conditional adversarial

263. Interactive 3D Modeling with a Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 6 Applied Vision

264. Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 1 Applied Vision

265. Invertible Conditional GANs for image editing (IcGAN)? ( IcGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/11 Citation: 25 Conditional adversarial

266. Inverting The Generator Of A Generative Adversarial Network? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 10 Theory & Machine Learning

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

• 2017/5 Citation:

268. It Takes (Only) Two: Adversarial Generator-Encoder Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 9 Theory & Machine Learning

269. IVE-GAN: Invariant Encoding Generative Adversarial Networks ( IVE-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

270. KBGAN: Adversarial Learning for Knowledge Graph Embeddings ( KBGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

271. KGAN: How to Break The Minimax Game in GAN? ( KGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: 0 Theory & Machine Learning

272. Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images? ( LDAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 1 Applied Vision

273. Language Generation with Recurrent Generative Adversarial Networks without Pre-training? ( RNN-WGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/6 Citation: 4 Applied Other

274. Learning a Driving Simulator? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/8 Citation: 25 Applied Vision

275. Learning a Generative Adversarial Network for High Resolution Artwork Synthesis? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Applied Vision

276. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (3D-GAN)? ( 3D-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/10 Citation: 99 3D

277. Learning Compositional Visual Concepts with Mutual Consistency ( ConceptGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

278. Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE ( SteinGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

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

• 2017/12 Citation:

280. Learning from Simulated and Unsupervised Images through Adversarial Training (SimGAN) by Apple? ( SimGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/12 Citation: 80 Improving Classification And Recong

281. Learning Graph Topological Features via GAN ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

282. Learning in Implicit Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/10 Citation: 43 Theory & Machine Learning

283. Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets ( AEGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation:

284. Learning Loss for Knowledge Distillation with Conditional Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Theory & Machine Learning

285. Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis ( LAGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation:

286. Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 6

287. Learning Residual Images for Face Attribute Manipulation(CVPR 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/4 Citation: Face Generative and Editing

288. Learning Temporal Transformations from Time-lapse Videos? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/9 Citation:

289. Learning Texture Manifolds with the Periodic Spatial GAN? ( PSGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 2 Theory & Machine Learning

290. Learning to Avoid Errors in GANs by Manipulating Input Spaces ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

291. Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (DiscoGAN)? ( DiscoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/3 Citation: 54 Image translation

292. Learning to Fuse Music Genres with Generative Adversarial Dual Learning ( FusionGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

293. Learning to Generate Chairs with Generative Adversarial Nets? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 0 Applied Vision

294. Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts (AL-CGAN)? ( AL-CGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 7

295. Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks? ( MD-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Applied Vision

296. Learning to Protect Communications with Adversarial Neural Cryptography? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/10 Citation: 21 Applied Other

297. Learning What and Where to Draw (GAWWN)? ( GAWWN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/10 Citation: 49 Unclassified

298. Least Squares Generative Adversarial Networks (LSGAN)? ( LSGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/11 Citation: 58 GAN Theory

299. Likelihood Estimation for Generative Adversarial Networks ( LeGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

300. Linear Discriminant Generative Adversarial Networks ( LD-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

301. Linking Generative Adversarial Learning and Binary Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Theory & Machine Learning

302. Long Text Generation via Adversarial Training with Leaked Information ( LeakGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: Applied Other

303. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities (LS-GAN) ( LS-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 24 Theory & Machine Learning

304. Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 1 Medical: LD-CT

305. LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation ( LR-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 13 Theory & Machine Learning

306. MAGAN: Margin Adaptation for Generative Adversarial Networks? ( MAGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 8 Theory & Machine Learning

307. Manifold-valued Image Generation with Wasserstein Adversarial Networks ( manifold-WGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

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

• 2017/10 Citation:

309. MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 1 Applied Vision

310. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks? ( MaliGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 13 For discrete distributions

311. McGan: Mean and Covariance Feature Matching GAN? ( McGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 14 Theory & Machine Learning

312. Medical Image Synthesis with Context-Aware Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: Medical: Synthersize

313. Megapixel Size Image Creation using Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 3 Applied Vision

314. Message Passing Multi-Agent GANs (MPM-GAN)? ( MPM-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 4 Theory & Machine Learning

315. Metric Learning-based Generative Adversarial Network ( MLGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

316. Microscopy Cell Segmentation via Adversarial Neural Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: 0 Applied Vision

317. MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 2 MUSIC

318. MMD GAN: Towards Deeper Understanding of Moment Matching Network? ( MMD-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/5 Citation: 19 Theory & Machine Learning

319. MMGAN: Manifold Matching Generative Adversarial Network for Generating Images ( MMGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

320. MoCoGAN: Decomposing Motion and Content for Video Generation? ( MoCoGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/7 Citation: 11 Video Prediction and Generation

321. Mode Regularized Generative Adversarial Networks? ( MDGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 50 Theory & Machine Learning

322. Mode Regularized Generative Adversarial Networks?(Yoshua Bengio , ICLR 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: GAN Theory

323. Multi-Agent Diverse Generative Adversarial Networks (MAD-GAN)? ( MAD-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 6 Theory & Machine Learning

324. Multi-Content GAN for Few-Shot Font Style Transfer ( MC-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/12 Citation:

325. Multi-Content GAN for Few-Shot Font Style Transfer ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

326. Multi-Generator Gernerative Adversarial Nets? ( MGGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 4 Theory & Machine Learning

327. Multi-view Generative Adversarial Networks (MV-BiGAN)? ( MV-BiGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 2 Applied Vision

328. Multi-View Image Generation from a Single-View? ( VariGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 11

329. Multimodal Storytelling via Generative Adversarial Imitation Learning ( MIL-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

330. MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks ( MuseGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: Applied Other

331. Neural Face Editing with Intrinsic Image Disentangling? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 11 Face Generative and Editing

332. Neural Photo Editing with Introspective Adversarial Networks (IAN)? ( IAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/9 Citation: 37 Face Generative and Editing

333. Neural Stain-Style Transfer Learning using GAN for Histopathological Images? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Applied Vision

334. Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models? ( ORGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 3 Theory & Machine Learning

335. On Convergence and Stability of GANs? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 9 Theory & Machine Learning

336. On reproduction of On the regularization of Wasserstein GANs ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

337. On the Discrimination-Generalization Tradeoff in GANs ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

338. On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 0 Theory & Machine Learning

339. On the Quantitative Analysis of Decoder-Based Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 36 Theory & Machine Learning

340. On the regularization of Wasserstein GANs ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

341. On Unifying Deep Generative Models ( IWGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

342. One-Sided Unsupervised Domain Mapping ( DistanceGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

343. One-to-Many Network for Visually Pleasing Compression Artifacts Reduction? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation:

344. Optimizing the Latent Space of Generative Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 4 Theory & Machine Learning

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

• 2017/9 Citation:

346. Outline Colorization through Tandem Adversarial Networks? ( TAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 2 Applied Vision

347. PacGAN: The power of two samples in generative adversarial networks ( PacGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

348. Parametrizing filters of a CNN with a GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Theory & Machine Learning

349. PassGAN: A Deep Learning Approach for Password Guessing ( PassGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/9 Citation:

350. Perceptual Adversarial Networks for Image-to-Image Transformation? ( PAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 4 Applied Vision

351. Perceptual Generative Adversarial Networks for Small Object Detection? ( Perceptual GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 10 Object Detection

352. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (SRGAN)? ( SRGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/9 Citation: 281 Applied Vision

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

• 2017/11 Citation:

354. Pixel-Level Domain Transfer? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/3 Citation: 30 Conditional adversarial

355. PixelGAN Autoencoders? ( PixelGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 3 Theory & Machine Learning

356. PixelSNAIL: An Improved Autoregressive Generative Model ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

357. Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space (PPGN)? ( PPGN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/12 Citation: 58

358. Pose Guided Person Image Generation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 7 Applied Vision

359. Pose-Normalized Image Generation for Person Re-identification ( PN-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

360. Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/2 Citation: 103

361. Precise Recovery of Latent Vectors from Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 9

362. Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks (MGAN)? ( MGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/4 Citation: 74 Texture Synthesis & style transfer

363. Probabilistic Generative Adversarial Networks ( PGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation:

364. Progressive Growing of GANs for Improved Quality, Stability, and Variation ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/10 Citation: Generation High-Quality Images

365. Real-Time Adaptive Image Compression? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation:

366. Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs ( RCGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: Medical: ICU prediction

367. Reconstruction of three-dimensional porous media using generative adversarial neural networks? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/4 Citation: 6 3D

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

• 2017/11 Citation:

369. Recurrent Topic-Transition GAN for Visual Paragraph Generation (RTT-GAN)? ( RTT-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 14 Applied Vision

370. Relaxed Wasserstein with Applications to GANs (RWGAN )? ( RWGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 4

371. RenderGAN: Generating Realistic Labeled Data? ( RenderGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 7 Applied Vision

372. Representation Learning and Adversarial Generation of 3D Point Clouds? ( l-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 1 Applied Vision

373. Representation Learning by Rotating Your Faces ( DR-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation:

374. Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Applied Vision

375. Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 2 Medical: Segmentation

376. Robust LSTM-Autoencoders for Face De-Occlusion in the Wild? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 4 Disocclusion

377. SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks ( SAD-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 1 Applied Vision

378. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks? ( SalGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/1 Citation: 11 Applied Vision

379. Sampling Generative Networks ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/9 Citation: 10 GAN Theory

380. SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 6 Medical: Segmentation

381. SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation? ( SegAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 4 Medical: Segmentation

382. SeGAN: Segmenting and Generating the Invisible? ( SeGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 2 Applied Vision

383. SEGAN: Speech Enhancement Generative Adversarial Network? ( SEGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 20 Applied Other

384. Self Adversarial Training for Human Pose Estimation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

385. Semantic Image Inpainting with Deep Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/7 Citation: 11 Applied Vision

386. Semantic Image Inpainting with Perceptual and Contextual Losses? ( ) - (Search) (Scholar) (PDF)

• 2016/ Citation: 48 Image Inpainting

387. Semantic Image Synthesis via Adversarial Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: 2 Applied Vision

388. Semantic Segmentation using Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 40 Semantic Segmentation

389. Semantically Decomposing the Latent Spaces of Generative Adversarial Networks (SD-GAN)? ( SD-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 5 Applied Vision

390. Semi-Latent GAN: Learning to generate and modify facial images from attributes (SL-GAN)? ( SL-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 5 Applied Vision

391. Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets?[SASHIMI 2017] ( ) - (Search) (Scholar) (PDF)

• 2017/9 Citation: Medical: Classification

392. Semi-supervised Conditional GANs ( SS-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation:

393. Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks (SSL-GAN)? ( SSL-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 8 Image Inpainting

394. Semi-Supervised Learning with Deep Generative Models? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2014/6 Citation: 367

395. Semi-Supervised Learning with IPM-based GANs: an Empirical Study ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

396. Semi-Supervised QA with Generative Domain-Adaptive Nets(ACL 2017) ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: Semi-supervised learning

397. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient? ( SeqGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/9 Citation: 73 Theory & Machine Learning

398. SGAN: An Alternative Training of Generative Adversarial Networks ( SGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

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

• 2017/11 Citation:

400. Sharpness-aware Low dose CT denoising using conditional generative adversarial network? ( SAGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/8 Citation: 0 Medical: LD-CT

401. Simple Black-Box Adversarial Perturbations for Deep Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: 10 Theory & Machine Learning

402. Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network? ( CDcGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Applied Vision

403. Sobolev GAN ( Sobolev GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

404. Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Applied Vision

405. Softmax GAN? ( Softmax-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 2 Theory & Machine Learning

406. Spectral Normalization for Generative Adversarial Networks ( SN-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/8 Citation:

407. SSGAN: Secure Steganography Based on Generative Adversarial Networks ( SSGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: Applied Other

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

• 2017/ Citation: Image translation

409. Stabilizing GAN Training with Multiple Random Projections ( RPGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/5 Citation:

410. Stabilizing Training of Generative Adversarial Networks through Regularization? ( ED//GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 6 Theory & Machine Learning

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

• 2017/12 Citation:

412. Stacked Generative Adversarial Networks (SGAN)? ( SGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/12 Citation: 33 Theory & Machine Learning

413. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks? ( StackGAN-v2 ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/10 Citation: 2 Applied Vision

414. StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks? ( StackGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/12 Citation: 99 Generation High-Quality Images

415. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation ( StarGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/11 Citation: Face Generative and Editing

416. Statistics of Deep Generated Images? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: 0 Theory & Machine Learning

417. Steganographic Generative Adversarial Networks? ( SGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 4 Applied Other

418. Stopping GAN Violence: Generative Unadversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 0

419. Structured Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF)

• 2017/ Citation: 0 Theory & Machine Learning

420. Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 3 Applied Vision

421. Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently ( ST-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation:

422. 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 Citation:

423. Supervised Adversarial Networks for Image Saliency Detection? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 1 Applied Vision

424. SVSGAN: Singing Voice Separation via Generative Adversarial Network ( SVSGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation:

425. Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: Medical: Synthersize

426. Synthesizing Filamentary Structured Images with GANs? ( Fila-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/6 Citation: 0 Medical: Synthersize

427. Synthesizing the preferred inputs for neurons in neural networks via deep generator networks? ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/5 Citation: 64 Unclassified

428. Synthetic Iris Presentation Attack using iDCGAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: Applied Vision

429. Synthetic Medical Images from Dual Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: Medical: Synthersize

430. TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network ( TAC-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/3 Citation: 1 Applied Vision

431. Temporal Generative Adversarial Nets with Singular Value Clipping? ( TGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 12

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

• 2017/11 Citation:

433. Tensorizing Generative Adversarial Nets? ( TGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation: 0 Theory & Machine Learning

434. Text Generation Based on Generative Adversarial Nets with Latent Variable ( VGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

435. Texture Synthesis with Spatial Generative Adversarial Networks (SGAN)? ( SGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 5 Applied Vision

436. TextureGAN: Controlling Deep Image Synthesis with Texture Patches? ( TextureGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: 1 Applied Vision

437. The Conditional Analogy GAN: Swapping Fashion Articles on People Images? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: Applied Vision

438. The Cramer Distance as a Solution to Biased Wasserstein Gradients? ( Cram?r GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 13 Theory & Machine Learning

439. The Numerics of GANs ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation:

440. The Pose Knows: Video Forecasting by Generating Pose Futures ( Pose-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation:

441. The Space of Transferable Adversarial Examples? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 12

442. Theoretical limitations of Encoder-Decoder GAN architectures ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

443. Toward Multimodal Image-to-Image Translation ( BicycleGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/11 Citation:

444. Towards Adversarial Retinal Image Synthesis ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: Medical: Synthersize

445. Towards an Understanding of Our World by GANing Videos in the Wild ( iVGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/11 Citation:

446. Towards Diverse and Natural Image Descriptions via a Conditional GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 9 Applied Vision

447. Towards Grounding Conceptual Spaces in Neural Representations? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation: Applied Other

448. Towards Large-Pose Face Frontalization in the Wild ( FF-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 8

449. Towards Principled Methods for Training Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 121 GAN Theory

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

• 2017/12 Citation:

451. Towards the Automatic Anime Characters Creation with Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: Applied Vision

452. Towards Understanding Adversarial Learning for Joint Distribution Matching? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation:

453. Towards Understanding the Dynamics of Generative Adversarial Networks ( GMM-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

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

• 2017/ Citation: Medical: Synthersize

455. Training GANs with Optimism ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

456. Training generative neural networks via Maximum Mean Discrepancy optimization ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2015/5 Citation: 61 Theory & Machine Learning

457. Training Triplet Networks with GAN? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 1

458. Transformation-Grounded Image Generation Network for Novel 3D View Synthesis( CVPR 2017) ( ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/3 Citation: 3D

459. Triangle Generative Adversarial Networks ( ��-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/9 Citation: Image translation

460. Triple Generative Adversarial Nets (Triple-GAN)? ( Triple-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 19 Theory & Machine Learning

461. TripletGAN: Training Generative Model with Triplet Loss ( tripletGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

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

• 2017/12 Citation:

463. Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs ( Iterative-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/11 Citation:

464. Understanding GANs: the LQG Setting ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/10 Citation:

465. Universal Adversarial Perturbations Against Semantic Image Segmentation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 7

466. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 35 Improving Classification And Recong

467. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN)? ( CycleGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/3 Citation: 153 Image translation

468. Unrolled Generative Adversarial Networks ( Unrolled GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/11 Citation:

469. Unrolled Generative Adversarial Networks (Unrolled GAN)? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/11 Citation: 75 GAN Theory

470. Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks (CatGAN)? ( CatGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2015/11 Citation: 92 Semi-supervised learning

471. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (AnoGAN)? ( AnoGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/3 Citation: 6 Applied Vision

472. Unsupervised Cipher Cracking Using Discrete GANs ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2018/ Citation:

473. Unsupervised Cross-Domain Image Generation (DTN)? ( DTN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2016/11 Citation: 62 Image translation

474. Unsupervised Diverse Colorization via Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 3 Applied Vision

475. Unsupervised Domain Adaptation for Semantic Segmentation with GANs ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

476. Unsupervised Generative Adversarial Cross-modal Hashing ( UGACH ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/12 Citation:

477. Unsupervised Image-to-Image Translation Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: Image translation

478. Unsupervised Image-to-Image Translation with Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/1 Citation: 10 Image translation

479. Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: Medical: Classification

480. Unsupervised Learning for Physical Interaction through Video Prediction? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/5 Citation: 99

481. Unsupervised Pixel?Level Domain Adaptation with Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/12 Citation: Applied Vision

482. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGANs)? ( DCGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2015/11 Citation: 901 Generation High-Quality Images

483. Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: Medical: Synthersize

484. Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: Applied Vision

485. Variance Regularizing Adversarial Learning ( VRAL ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation:

486. Variational Approaches for Auto-Encoding Generative Adversarial Networks ( ��-GAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/6 Citation:

487. VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning ()? ( VEEGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/5 Citation: 4

488. Video Imagination from a Single Image with Transformation Generation? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/6 Citation:

489. VIGAN: Missing View Imputation with Generative Adversarial Networks ( VIGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/8 Citation: Applied Vision

490. VIME: Variational Information Maximizing Exploration? ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2016/5 Citation: 37

491. Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/7 Citation: Medical: Synthersize

492. Visual Feature Attribution using Wasserstein GANs ( ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation: Medical: Detection

493. Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks? ( VAW-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/4 Citation: 8

494. Wasserstein GAN (WGAN)? ( WGAN ) - (Search) (Scholar) (PDF) (arXiv) (github)

• 2017/1 Citation: 314 GAN Theory

495. WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images? ( WaterGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/2 Citation: 2 Applied Vision

496. Weakly Supervised Generative Adversarial Networks for 3D Reconstruction? ( WS-GAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/5 Citation: 3 Applied Vision

497. XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings ( XGAN ) - (Search) (Scholar) (PDF) (arXiv)

• 2017/11 Citation:

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

• 2017/11 Citation:

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GAN counter: 498

Modified: Tuesday, Jan 02 2018 / 21:06:24

MIT (c) 2017, 2018 Jonathan Jeon