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A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

20 January 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
    EGVM
ArXivPDFHTML

Papers citing "A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications"

50 / 361 papers shown
Title
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in
  Chest X-rays
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Wei-Ming Dai
Joseph Doyle
Xiaodan Liang
Zeya Wang
Nanqing Dong
Huatian Zhang
Eric Xing
MedIm
40
170
0
26 Mar 2017
GP-GAN: Towards Realistic High-Resolution Image Blending
GP-GAN: Towards Realistic High-Resolution Image Blending
Huikai Wu
Shuai Zheng
Junge Zhang
Kaiqi Huang
GAN
43
256
0
21 Mar 2017
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
185
575
0
19 Mar 2017
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial
  Network
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network
Ayushman Dash
J. Gamboa
Sheraz Ahmed
Marcus Liwicki
Muhammad Zeshan Afzal
GAN
34
142
0
19 Mar 2017
Towards Diverse and Natural Image Descriptions via a Conditional GAN
Towards Diverse and Natural Image Descriptions via a Conditional GAN
Bo Dai
Sanja Fidler
R. Urtasun
Dahua Lin
GAN
37
452
0
17 Mar 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedIm
GAN
58
2,219
0
17 Mar 2017
Steganographic Generative Adversarial Networks
Steganographic Generative Adversarial Networks
Denis Volkhonskiy
Ivan Nazarov
Evgeny Burnaev
GAN
50
214
0
16 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GAN
OOD
72
1,979
0
15 Mar 2017
Triple Generative Adversarial Nets
Triple Generative Adversarial Nets
Chongxuan Li
T. Xu
Jun Zhu
Bo Zhang
GAN
68
452
0
07 Mar 2017
LR-GAN: Layered Recursive Generative Adversarial Networks for Image
  Generation
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
Jianwei Yang
A. Kannan
Dhruv Batra
Devi Parikh
GAN
53
240
0
05 Mar 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
109
2,730
0
02 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora
Rong Ge
Yingyu Liang
Tengyu Ma
Yi Zhang
GAN
35
687
0
02 Mar 2017
Generating Steganographic Images via Adversarial Training
Generating Steganographic Images via Adversarial Training
Jamie Hayes
G. Danezis
AAML
GAN
42
276
0
01 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran
Rajesh Ranganath
David M. Blei
VLM
GAN
79
100
0
28 Feb 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
40
170
0
27 Feb 2017
McGan: Mean and Covariance Feature Matching GAN
McGan: Mean and Covariance Feature Matching GAN
Youssef Mroueh
Tom Sercu
Vaibhava Goel
GAN
39
159
0
27 Feb 2017
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Tong Che
Yanran Li
Ruixiang Zhang
R. Devon Hjelm
Wenjie Li
Yangqiu Song
Yoshua Bengio
GAN
47
235
0
26 Feb 2017
Generative Adversarial Active Learning
Generative Adversarial Active Learning
Jia Jie Zhu
José Bento
GAN
30
183
0
25 Feb 2017
Adversarial examples for generative models
Adversarial examples for generative models
Jernej Kos
Ian S. Fischer
D. Song
GAN
48
273
0
22 Feb 2017
Style Transfer Generative Adversarial Networks: Learning to Play Chess
  Differently
Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently
Muthuraman Chidambaram
Yanjun Qi
GAN
38
27
0
22 Feb 2017
Generating Adversarial Malware Examples for Black-Box Attacks Based on
  GAN
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
Weiwei Hu
Ying Tan
GAN
52
461
0
20 Feb 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
161
4,638
0
17 Feb 2017
Face Aging With Conditional Generative Adversarial Networks
Face Aging With Conditional Generative Adversarial Networks
G. Antipov
M. Baccouche
J. Dugelay
GAN
CVBM
39
490
0
07 Feb 2017
Unlabeled Samples Generated by GAN Improve the Person Re-identification
  Baseline in vitro
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Zhedong Zheng
Liang Zheng
Yi Yang
GAN
29
1,880
0
26 Jan 2017
Adversarial Learning for Neural Dialogue Generation
Adversarial Learning for Neural Dialogue Generation
Jiwei Li
Will Monroe
Tianlin Shi
Sébastien Jean
Alan Ritter
Dan Jurafsky
40
898
0
23 Jan 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
40
350
0
23 Jan 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
43
933
0
19 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
63
2,102
0
17 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
BDL
80
528
0
17 Jan 2017
Image Generation and Editing with Variational Info Generative
  AdversarialNetworks
Image Generation and Editing with Variational Info Generative AdversarialNetworks
Mahesh Gorijala
Ambedkar Dukkipati
GAN
23
15
0
17 Jan 2017
AdaGAN: Boosting Generative Models
AdaGAN: Boosting Generative Models
Ilya O. Tolstikhin
Sylvain Gelly
Olivier Bousquet
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
GAN
34
226
0
09 Jan 2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Junting Pan
Cristian Canton Ferrer
Kevin McGuinness
Noel E. O'Connor
Jordi Torres
E. Sayrol
Xavier Giró-i-Nieto
GAN
55
398
0
04 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
78
1,721
0
31 Dec 2016
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
62
1,800
0
22 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
121
1,534
0
16 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
51
459
0
13 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
87
2,717
0
10 Dec 2016
Mode Regularized Generative Adversarial Networks
Mode Regularized Generative Adversarial Networks
Tong Che
Yanran Li
Athul Paul Jacob
Yoshua Bengio
Wenjie Li
GAN
93
551
0
07 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and
  Semantic Layouts
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
GAN
51
186
0
01 Dec 2016
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
86
516
0
29 Nov 2016
Texture Synthesis with Spatial Generative Adversarial Networks
Texture Synthesis with Spatial Generative Adversarial Networks
Nikolay Jetchev
Urs M. Bergmann
Roland Vollgraf
GAN
33
212
0
24 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
272
19,560
0
21 Nov 2016
Temporal Generative Adversarial Nets with Singular Value Clipping
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito
Eiichi Matsumoto
Shunta Saito
GAN
48
445
0
21 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial
  Networks
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily L. Denton
Sam Gross
Rob Fergus
GAN
36
151
0
19 Nov 2016
Invertible Conditional GANs for image editing
Invertible Conditional GANs for image editing
Guim Perarnau
Joost van de Weijer
Bogdan Raducanu
J. Álvarez
GAN
63
648
0
19 Nov 2016
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
188
339
0
17 Nov 2016
Generative Models and Model Criticism via Optimized Maximum Mean
  Discrepancy
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland
H. Tung
Heiko Strathmann
Soumyajit De
Aaditya Ramdas
Alex Smola
Arthur Gretton
47
258
0
14 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
234
4,554
0
13 Nov 2016
GANS for Sequences of Discrete Elements with the Gumbel-softmax
  Distribution
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Matt J. Kusner
José Miguel Hernández-Lobato
GAN
55
327
0
12 Nov 2016
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
GAN
41
353
0
11 Nov 2016
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