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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
Fully Convolutional Adaptation Networks for Semantic Segmentation
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSeg
OOD
198
351
0
23 Apr 2018
Deep Semantic Hashing with Generative Adversarial Networks
Deep Semantic Hashing with Generative Adversarial Networks
Zhaofan Qiu
Yingwei Pan
Ting Yao
Tao Mei
GAN
87
82
0
23 Apr 2018
Adversarial Training for Community Question Answer Selection Based on
  Multi-scale Matching
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching
Xiao Yang
Madian Khabsa
Miaosen Wang
Wei Wang
Madian Khabsa
Ahmed Hassan Awadallah
Daniel Kifer
C. Lee Giles
32
23
0
22 Apr 2018
Neural Kinematic Networks for Unsupervised Motion Retargetting
Neural Kinematic Networks for Unsupervised Motion Retargetting
Ruben Villegas
Jimei Yang
Duygu Ceylan
Honglak Lee
GAN
46
214
0
16 Apr 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
101
2,479
0
12 Apr 2018
VITAL: VIsual Tracking via Adversarial Learning
VITAL: VIsual Tracking via Adversarial Learning
Yibing Song
Chao Ma
Xiaohe Wu
Lijun Gong
Linchao Bao
W. Zuo
Chunhua Shen
Rynson W. H. Lau
Ming-Hsuan Yang
GAN
AAML
85
503
0
12 Apr 2018
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning
  and A New Benchmark for Multi-Human Parsing
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
Jian-jun Zhao
Jianshu Li
Yu Cheng
Li Zhou
Terence Sim
Shuicheng Yan
Jiashi Feng
89
174
0
10 Apr 2018
Recovering Realistic Texture in Image Super-resolution by Deep Spatial
  Feature Transform
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
Xintao Wang
K. Yu
Chao Dong
Chen Change Loy
SupR
58
974
0
09 Apr 2018
Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for
  Optimizing Protein Functions
Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions
Anvita Gupta
James Zou
AI4CE
28
55
0
05 Apr 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin
Tejas D. Kulkarni
Igor Babuschkin
A. Eslami
Oriol Vinyals
GAN
38
229
0
03 Apr 2018
High-quality nonparallel voice conversion based on cycle-consistent
  adversarial network
High-quality nonparallel voice conversion based on cycle-consistent adversarial network
Fuming Fang
Junichi Yamagishi
Isao Echizen
Jaime Lorenzo-Trueba
GAN
37
136
0
02 Apr 2018
Learning Beyond Human Expertise with Generative Models for Dental
  Restorations
Learning Beyond Human Expertise with Generative Models for Dental Restorations
Jyh-Jing Hwang
S. Azernikov
Alexei A. Efros
Stella X. Yu
MedIm
26
33
0
30 Mar 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial
  Networks
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
143
1,895
0
29 Mar 2018
Attention-GAN for Object Transfiguration in Wild Images
Attention-GAN for Object Transfiguration in Wild Images
Xinyuan Chen
Chang Xu
Xiaokang Yang
Dacheng Tao
50
176
0
19 Mar 2018
GAN-based Synthetic Medical Image Augmentation for increased CNN
  Performance in Liver Lesion Classification
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
Maayan Frid-Adar
I. Diamant
Eyal Klang
Michal Amitai
Jacob Goldberger
H. Greenspan
GAN
MedIm
55
1,554
0
03 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
42
69
0
02 Mar 2018
Evolutionary Generative Adversarial Networks
Evolutionary Generative Adversarial Networks
Chaoyue Wang
Chang Xu
Xin Yao
Dacheng Tao
GAN
126
283
0
01 Mar 2018
A Variational Inequality Perspective on Generative Adversarial Networks
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel
Hugo Berard
Gaëtan Vignoud
Pascal Vincent
Simon Lacoste-Julien
GAN
104
352
0
28 Feb 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
98
1,535
0
28 Feb 2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi
Sai Rajeswar
Alessandro Sordoni
Philip Bachman
Aaron Courville
GAN
36
420
0
27 Feb 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited
  Humans
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin F. Elsayed
Shreya Shankar
Brian Cheung
Nicolas Papernot
Alexey Kurakin
Ian Goodfellow
Jascha Narain Sohl-Dickstein
AAML
61
261
0
22 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized
  Optimal Transport
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi
Jimmy Ba
Meisam Razaviyayn
Jason D. Lee
GAN
46
137
0
22 Feb 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
304
678
0
17 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
124
4,421
0
16 Feb 2018
cGANs with Projection Discriminator
cGANs with Projection Discriminator
Takeru Miyato
Masanori Koyama
GAN
42
768
0
15 Feb 2018
Adversarial Audio Synthesis
Adversarial Audio Synthesis
Chris Donahue
Julian McAuley
M. Puckette
GAN
114
609
0
12 Feb 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELM
EGVM
50
874
0
09 Feb 2018
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial
  Network
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
Jian Zhang
Yuxin Peng
Mingkuan Yuan
GAN
47
117
0
07 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
153
3,171
0
01 Feb 2018
Generating Handwritten Chinese Characters using CycleGAN
Generating Handwritten Chinese Characters using CycleGAN
B. Chang
Qiong Zhang
Shenyi Pan
Lili Meng
GAN
42
130
0
25 Jan 2018
Generative Image Inpainting with Contextual Attention
Generative Image Inpainting with Contextual Attention
Jiahui Yu
Zhe Lin
Jimei Yang
Xiaohui Shen
Xin Lu
Thomas S. Huang
GAN
DiffM
60
2,255
0
24 Jan 2018
MaskGAN: Better Text Generation via Filling in the______
MaskGAN: Better Text Generation via Filling in the______
W. Fedus
Ian Goodfellow
Andrew M. Dai
52
469
0
23 Jan 2018
Mitigating Unwanted Biases with Adversarial Learning
Mitigating Unwanted Biases with Adversarial Learning
B. Zhang
Blake Lemoine
Margaret Mitchell
FaML
89
1,373
0
22 Jan 2018
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong
Dingdong Yang
Jongwook Choi
Honglak Lee
EGVM
78
336
0
16 Jan 2018
Unsupervised Cipher Cracking Using Discrete GANs
Unsupervised Cipher Cracking Using Discrete GANs
Aidan Gomez
Sicong Huang
Ivan Zhang
Bryan M. Li
Muhammad Osama
Lukasz Kaiser
GAN
32
59
0
15 Jan 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
53
1,457
0
13 Jan 2018
Comparative Study on Generative Adversarial Networks
Comparative Study on Generative Adversarial Networks
Saifuddin Hitawala
GAN
50
56
0
12 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
69
1,470
0
04 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
56
1,862
0
02 Jan 2018
Deformable GANs for Pose-based Human Image Generation
Deformable GANs for Pose-based Human Image Generation
Aliaksandr Siarohin
E. Sangineto
Stéphane Lathuilière
N. Sebe
3DH
GAN
55
451
0
29 Dec 2017
ComboGAN: Unrestrained Scalability for Image Domain Translation
ComboGAN: Unrestrained Scalability for Image Domain Translation
Asha Anoosheh
E. Agustsson
Radu Timofte
Luc Van Gool
27
203
0
19 Dec 2017
On the Effectiveness of Least Squares Generative Adversarial Networks
On the Effectiveness of Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
45
160
0
18 Dec 2017
Generating and designing DNA with deep generative models
Generating and designing DNA with deep generative models
N. Killoran
Leo J. Lee
Andrew Delong
David Duvenaud
B. Frey
AI4CE
34
146
0
17 Dec 2017
PacGAN: The power of two samples in generative adversarial networks
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin
A. Khetan
Giulia Fanti
Sewoong Oh
GAN
46
332
0
12 Dec 2017
Eye In-Painting with Exemplar Generative Adversarial Networks
Eye In-Painting with Exemplar Generative Adversarial Networks
Brian Dolhansky
Cristian Canton Ferrer
GAN
54
109
0
11 Dec 2017
CycleGAN, a Master of Steganography
CycleGAN, a Master of Steganography
Casey Chu
A. Zhmoginov
Mark Sandler
GAN
39
212
0
08 Dec 2017
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
62
1,781
0
07 Dec 2017
A Generative Adversarial Approach for Zero-Shot Learning from Noisy
  Texts
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Yizhe Zhu
Mohamed Elhoseiny
Bingchen Liu
Xi Peng
Ahmed Elgammal
VLM
GAN
68
384
0
04 Dec 2017
Wasserstein Divergence for GANs
Wasserstein Divergence for GANs
Jiqing Wu
Zhiwu Huang
Janine Thoma
Dinesh Acharya
Luc Van Gool
52
138
0
04 Dec 2017
Unsupervised Generative Adversarial Cross-modal Hashing
Unsupervised Generative Adversarial Cross-modal Hashing
Jian Zhang
Yuxin Peng
Mingkuan Yuan
GAN
47
196
0
01 Dec 2017
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