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Improved Techniques for Training GANs

Improved Techniques for Training GANs

10 June 2016
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
    GAN
ArXiv (abs)PDFHTML

Papers citing "Improved Techniques for Training GANs"

50 / 4,341 papers shown
Restricting Greed in Training of Generative Adversarial Network
Restricting Greed in Training of Generative Adversarial Network
Haoxuan You
Zhicheng Jiao
Haojun Xu
Jie Li
Ying Wang
Xinbo Gao
GAN
128
2
0
28 Nov 2017
Population Based Training of Neural Networks
Population Based Training of Neural Networks
Max Jaderberg
Valentin Dalibard
Simon Osindero
Wojciech M. Czarnecki
Jeff Donahue
...
Tim Green
Iain Dunning
Karen Simonyan
Chrisantha Fernando
Koray Kavukcuoglu
309
816
0
27 Nov 2017
Discriminative Region Proposal Adversarial Networks for High-Quality
  Image-to-Image Translation
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Chao Wang
Haiyong Zheng
Zhibin Yu
Ziqiang Zheng
Zhaorui Gu
Bing Zheng
SSegGAN
186
59
0
27 Nov 2017
Semantically Consistent Image Completion with Fine-grained Details
Semantically Consistent Image Completion with Fine-grained Details
Pengpeng Liu
Xiaojuan Qi
Pinjia He
Yikang Li
Michael R. Lyu
Irwin King
GAN
100
15
0
26 Nov 2017
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative
  Adversarial Networks
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
Pramuditha Perera
Mahdi Abavisani
Vishal M. Patel
GAN
130
29
0
26 Nov 2017
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
496
922
0
26 Nov 2017
Adversarial Transfer Learning for Cross-domain Visual Recognition
Adversarial Transfer Learning for Cross-domain Visual Recognition
Shanshan Wang
Lei Zhang
Jingru Fu
OODGAN
136
21
0
24 Nov 2017
Wasserstein Introspective Neural Networks
Wasserstein Introspective Neural Networks
Kwonjoon Lee
Weijian Xu
Fan Fan
Zhuowen Tu
248
60
0
24 Nov 2017
Deep Video Generation, Prediction and Completion of Human Action
  Sequences
Deep Video Generation, Prediction and Completion of Human Action Sequences
Haoye Cai
Chunyan Bai
Yu-Wing Tai
Chi-Keung Tang
VGen
189
157
0
23 Nov 2017
IVE-GAN: Invariant Encoding Generative Adversarial Networks
IVE-GAN: Invariant Encoding Generative Adversarial Networks
R. Winter
Djork-Arné Clevert
GAN
92
0
0
23 Nov 2017
Contextual-based Image Inpainting: Infer, Match, and Translate
Contextual-based Image Inpainting: Infer, Match, and Translate
Yuhang Song
Chao Yang
Zhe Lin
Xiaofeng Liu
Qin Huang
Hao Li
C.-C. Jay Kuo
DiffM
213
226
0
23 Nov 2017
Safer Classification by Synthesis
Safer Classification by Synthesis
William Wang
Angelina Wang
Aviv Tamar
Xi Chen
Pieter Abbeel
199
41
0
22 Nov 2017
VITON: An Image-based Virtual Try-on Network
VITON: An Image-based Virtual Try-on Network
Xintong Han
Zuxuan Wu
Zhe Wu
Ruichi Yu
L. Davis
3DH
387
677
0
22 Nov 2017
Generative Adversarial Positive-Unlabelled Learning
Generative Adversarial Positive-Unlabelled Learning
Ming Hou
B. Chaib-draa
Chao Li
Qibin Zhao
148
6
0
21 Nov 2017
Are You Talking to Me? Reasoned Visual Dialog Generation through
  Adversarial Learning
Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
Qi Wu
Peng Wang
Chunhua Shen
Ian Reid
Anton Van Den Hengel
GAN
173
131
0
21 Nov 2017
Bidirectional Conditional Generative Adversarial Networks
Bidirectional Conditional Generative Adversarial Networks
Ayush Jaiswal
Wael AbdAlmageed
Yue Wu
Premkumar Natarajan
GAN
188
40
0
20 Nov 2017
Parameter Reference Loss for Unsupervised Domain Adaptation
Parameter Reference Loss for Unsupervised Domain Adaptation
Jiren Jin
R. Calland
Takeru Miyato
Brian K. Vogel
Hideki Nakayama
187
0
0
20 Nov 2017
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial
  Networks
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Orest Kupyn
Volodymyr Budzan
Mykola Mykhailych
Dmytro Mishkin
Jirí Matas
3DV
633
1,612
0
19 Nov 2017
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via
  Adversarial Training
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
Faisal Mahmood
Richard J. Chen
Nicholas J. Durr
OODMedIm
248
251
0
17 Nov 2017
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
427
35
0
17 Nov 2017
Chinese Typeface Transformation with Hierarchical Adversarial Network
Chinese Typeface Transformation with Hierarchical Adversarial Network
Jie Chang
Yujun Gu
Ya Zhang
GAN
109
10
0
17 Nov 2017
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
557
964
0
16 Nov 2017
Global versus Localized Generative Adversarial Nets
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi
Liheng Zhang
Hao Hu
Marzieh Edraki
Jingdong Wang
Xian-Sheng Hua
GAN
171
82
0
16 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
555
173
0
16 Nov 2017
Latent Constraints: Learning to Generate Conditionally from
  Unconditional Generative Models
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel
Matthew Hoffman
Adam Roberts
DRL
214
149
0
15 Nov 2017
Adversarial Information Factorization
Adversarial Information Factorization
Antonia Creswell
Yumnah Mohamied
B. Sengupta
Anil A Bharath
CVBMGAN
167
23
0
14 Nov 2017
TripletGAN: Training Generative Model with Triplet Loss
TripletGAN: Training Generative Model with Triplet Loss
Gongze Cao
Yezhou Yang
Jie Lei
Cheng Jin
Yang Liu
Xiuming Zhang
GAN
121
11
0
14 Nov 2017
Prediction Under Uncertainty with Error-Encoding Networks
Prediction Under Uncertainty with Error-Encoding Networks
Mikael Henaff
Jiaqi Zhao
Yann LeCun
UQCV
198
25
0
14 Nov 2017
Capturing Localized Image Artifacts through a CNN-based Hyper-image
  Representation
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation
P. S. Chandakkar
Baoxin Li
50
0
0
14 Nov 2017
Adversarial Symmetric Variational Autoencoder
Adversarial Symmetric Variational Autoencoder
Yunchen Pu
Weiyao Wang
Ricardo Henao
Liqun Chen
Zhe Gan
Chunyuan Li
Lawrence Carin
DRLGAN
248
79
0
14 Nov 2017
Sobolev GAN
Sobolev GAN
Youssef Mroueh
Chun-Liang Li
Tom Sercu
Anant Raj
Yu Cheng
132
118
0
14 Nov 2017
Semi-Supervised Learning via New Deep Network Inversion
Semi-Supervised Learning via New Deep Network Inversion
Randall Balestriero
Vincent Roger
H. Glotin
Richard G. Baraniuk
156
3
0
12 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
551
3,191
0
08 Nov 2017
Metric Learning-based Generative Adversarial Network
Metric Learning-based Generative Adversarial Network
Zi-Yi Dou
GAN
127
5
0
08 Nov 2017
Variational Walkback: Learning a Transition Operator as a Stochastic
  Recurrent Net
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
Anirudh Goyal
Nan Rosemary Ke
Surya Ganguli
Yoshua Bengio
DiffM
243
55
0
07 Nov 2017
Visually-Aware Fashion Recommendation and Design with Generative Image
  Models
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Wang-Cheng Kang
Chen Fang
Zhaowen Wang
Julian McAuley
161
277
0
07 Nov 2017
Optimal transport maps for distribution preserving operations on latent
  spaces of Generative Models
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models
E. Agustsson
Alexander Sage
Radu Timofte
Luc Van Gool
DRLOT
182
28
0
06 Nov 2017
Few-Shot Adversarial Domain Adaptation
Few-Shot Adversarial Domain Adaptation
Saeid Motiian
Q. Jones
Seyed Mehdi Iranmanesh
Gianfranco Doretto
229
426
0
05 Nov 2017
Adversarial Dropout Regularization
Adversarial Dropout Regularization
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
GAN
162
295
0
05 Nov 2017
A Classification-Based Study of Covariate Shift in GAN Distributions
A Classification-Based Study of Covariate Shift in GAN Distributions
Shibani Santurkar
Ludwig Schmidt
Aleksander Madry
GAN
135
16
0
02 Nov 2017
Structured Generative Adversarial Networks
Structured Generative Adversarial Networks
Zhijie Deng
Huatian Zhang
Xiaodan Liang
Luona Yang
Shizhen Xu
Jun Zhu
Eric Xing
GAN
110
56
0
02 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
267
256
0
01 Nov 2017
Adversarial Learning of Structure-Aware Fully Convolutional Networks for
  Landmark Localization
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
Yu Chen
Chunhua Shen
Hao Chen
Xiu-Shen Wei
Lingqiao Liu
Zhiqiang Wang
GAN
227
43
0
01 Nov 2017
Training GANs with Optimism
Training GANs with Optimism
C. Daskalakis
Andrew Ilyas
Vasilis Syrgkanis
Haoyang Zeng
432
555
0
31 Oct 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
584
644
0
31 Oct 2017
A Self-Training Method for Semi-Supervised GANs
A Self-Training Method for Semi-Supervised GANs
Alan Do-Omri
Dalei Wu
Xiaohua Liu
SSLGAN
105
2
0
27 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and VariationInternational Conference on Learning Representations (ICLR), 2017
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
851
8,159
0
27 Oct 2017
A Generative Model for Volume Rendering
A Generative Model for Volume RenderingIEEE Transactions on Visualization and Computer Graphics (TVCG), 2017
M. Berger
Jixian Li
Joshua A. Levine
GAN
125
98
0
26 Oct 2017
Deep Neural Networks
Deep Neural Networks
Randall Balestriero
Richard Baraniuk
AAML
231
0
0
25 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 StepInternational Conference on Learning Representations (ICLR), 2017
W. Fedus
Mihaela Rosca
Balaji Lakshminarayanan
Andrew M. Dai
S. Mohamed
Ian Goodfellow
GAN
297
217
0
23 Oct 2017
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