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Stabilizing Generative Adversarial Networks: A Survey
v1v2 (latest)

Stabilizing Generative Adversarial Networks: A Survey

30 September 2019
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
    GAN
ArXiv (abs)PDFHTML

Papers citing "Stabilizing Generative Adversarial Networks: A Survey"

50 / 84 papers shown
Title
Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features
Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features
Mathieu Calvat
Chris Bean
Dhruv Anjaria
Hyoungryul Park
Haoren Wang
Kenneth Vecchio
J.C. Stinville
AI4CE
90
1
0
30 Jan 2025
Towards Scalable Topological Regularizers
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
107
0
0
24 Jan 2025
Implicit competitive regularization in GANs
Implicit competitive regularization in GANs
Florian Schäfer
Hongkai Zheng
Anima Anandkumar
GAN
49
35
0
13 Oct 2019
On Stabilizing Generative Adversarial Training with Noise
On Stabilizing Generative Adversarial Training with Noise
Simon Jenni
Paolo Favaro
GAN
48
62
0
11 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
Georgios Papoudakis
Filippos Christianos
Arrasy Rahman
Stefano V. Albrecht
74
191
0
11 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedImEGVM
130
90
0
04 Jun 2019
Competitive Gradient Descent
Competitive Gradient Descent
Florian Schäfer
Anima Anandkumar
69
102
0
28 May 2019
Multi-objective training of Generative Adversarial Networks with
  multiple discriminators
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque
João Monteiro
T. Doan
Breandan Considine
T. Falk
Ioannis Mitliagkas
77
67
0
24 Jan 2019
Stackelberg GAN: Towards Provable Minimax Equilibrium via
  Multi-Generator Architectures
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures
Hongyang R. Zhang
Susu Xu
Jiantao Jiao
P. Xie
Ruslan Salakhutdinov
Eric Xing
46
23
0
19 Nov 2018
A domain agnostic measure for monitoring and evaluating GANs
A domain agnostic measure for monitoring and evaluating GANs
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Nathanael Perraudin
Ian Goodfellow
Thomas Hofmann
Andreas Krause
EGVM
94
8
0
13 Nov 2018
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh
Chen Liu
S. Chakrabartty
GAN
78
93
0
23 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
269
5,401
0
28 Sep 2018
GANs beyond divergence minimization
GANs beyond divergence minimization
Alexia Jolicoeur-Martineau
GAN
51
11
0
06 Sep 2018
The relativistic discriminator: a key element missing from standard GAN
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
GAN
62
977
0
02 Jul 2018
Convergence Problems with Generative Adversarial Networks (GANs)
Convergence Problems with Generative Adversarial Networks (GANs)
Samuel A. Barnett
GAN
43
48
0
29 Jun 2018
Beyond Local Nash Equilibria for Adversarial Networks
Beyond Local Nash Equilibria for Adversarial Networks
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
R. Groß
GAN
59
43
0
18 Jun 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
148
3,729
0
21 May 2018
Fictitious GAN: Training GANs with Historical Models
Fictitious GAN: Training GANs with Historical Models
Hao Ge
Yin Xia
Xu Chen
R. Berry
Ying Nian Wu
AI4CEGAN
99
29
0
23 Mar 2018
Evolutionary Generative Adversarial Networks
Evolutionary Generative Adversarial Networks
Chaoyue Wang
Chang Xu
Xin Yao
Dacheng Tao
GAN
147
284
0
01 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
159
4,442
0
16 Feb 2018
The Mechanics of n-Player Differentiable Games
The Mechanics of n-Player Differentiable Games
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
MLT
84
275
0
15 Feb 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
81
1,467
0
13 Jan 2018
Comparative Study on Generative Adversarial Networks
Comparative Study on Generative Adversarial Networks
Saifuddin Hitawala
GAN
62
56
0
12 Jan 2018
GANGs: Generative Adversarial Network Games
GANGs: Generative Adversarial Network Games
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
E. Jong
R. Groß
GAN
90
28
0
02 Dec 2017
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
77
1,013
0
28 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
74
157
0
16 Nov 2017
Training GANs with Optimism
Training GANs with Optimism
C. Daskalakis
Andrew Ilyas
Vasilis Syrgkanis
Haoyang Zeng
175
519
0
31 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
164
7,371
0
27 Oct 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At
  Every Step
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W. Fedus
Mihaela Rosca
Balaji Lakshminarayanan
Andrew M. Dai
S. Mohamed
Ian Goodfellow
GAN
63
211
0
23 Oct 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
118
3,059
0
19 Oct 2017
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and
  Open Problems
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
Stefano V. Albrecht
Peter Stone
113
472
0
23 Sep 2017
Dual Discriminator Generative Adversarial Nets
Dual Discriminator Generative Adversarial Nets
T. Nguyen
Trung Le
H. Vu
Dinh Q. Phung
GAN
56
312
0
12 Sep 2017
Cycles in adversarial regularized learning
Cycles in adversarial regularized learning
P. Mertikopoulos
Christos H. Papadimitriou
Georgios Piliouras
61
322
0
08 Sep 2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner
Bernhard Nessler
Calvin Seward
Günter Klambauer
M. Heusel
Hubert Ramsauer
Sepp Hochreiter
GAN
63
75
0
29 Aug 2017
Efficient Regret Minimization in Non-Convex Games
Efficient Regret Minimization in Non-Convex Games
Elad Hazan
Karan Singh
Cyril Zhang
105
98
0
31 Jul 2017
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca
Balaji Lakshminarayanan
David Warde-Farley
S. Mohamed
DRLGAN
71
265
0
15 Jun 2017
An Online Learning Approach to Generative Adversarial Networks
An Online Learning Approach to Generative Adversarial Networks
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
Andreas Krause
GAN
61
90
0
10 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional
  GANs
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban
Stephanie L. Hyland
Gunnar Rätsch
GANSyDaMedIm
112
791
0
08 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
153
4,501
0
07 Jun 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients
The Cramer Distance as a Solution to Biased Wasserstein Gradients
Marc G. Bellemare
Ivo Danihelka
Will Dabney
S. Mohamed
Balaji Lakshminarayanan
Stephan Hoyer
Rémi Munos
GAN
79
344
0
30 May 2017
The Numerics of GANs
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
103
456
0
30 May 2017
Fisher GAN
Fisher GAN
Youssef Mroueh
Tom Sercu
GANAI4CE
66
132
0
26 May 2017
Bayesian GAN
Bayesian GAN
Yunus Saatci
A. Wilson
GAN
51
133
0
26 May 2017
Stabilizing Training of Generative Adversarial Networks through
  Regularization
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth
Aurelien Lucchi
Sebastian Nowozin
Thomas Hofmann
GAN
54
446
0
25 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li
Wei-Cheng Chang
Yu Cheng
Yiming Yang
Barnabás Póczós
GAN
66
724
0
24 May 2017
Gang of GANs: Generative Adversarial Networks with Maximum Margin
  Ranking
Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
GAN
42
30
0
17 Apr 2017
MAGAN: Margin Adaptation for Generative Adversarial Networks
MAGAN: Margin Adaptation for Generative Adversarial Networks
Ruohan Wang
Antoine Cully
H. Chang
Y. Demiris
GAN
51
64
0
12 Apr 2017
Multi-Agent Diverse Generative Adversarial Networks
Multi-Agent Diverse Generative Adversarial Networks
Arna Ghosh
Viveka Kulharia
Vinay P. Namboodiri
Philip Torr
P. Dokania
GAN
79
306
0
10 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
227
9,558
0
31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
100
1,155
0
31 Mar 2017
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