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Max-Sliced Wasserstein Distance and its use for GANs

Max-Sliced Wasserstein Distance and its use for GANs

11 April 2019
Ishani Deshpande
Yuan-Ting Hu
Ruoyu Sun
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Zhizhen Zhao
David A. Forsyth
Alex Schwing
    GAN
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Papers citing "Max-Sliced Wasserstein Distance and its use for GANs"

34 / 34 papers shown
Title
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
212
10,591
0
17 Feb 2020
Sliced Wasserstein Generative Models
Jiqing Wu
Zhiwu Huang
Dinesh Acharya
Wen Li
Janine Thoma
D. Paudel
Luc Van Gool
DiffM
113
126
0
10 Apr 2019
Diverse Image-to-Image Translation via Disentangled Representations
Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee
Hung-Yu Tseng
Jia-Bin Huang
M. Singh
Ming-Hsuan Yang
DRL
46
907
0
02 Aug 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
115
2,479
0
12 Apr 2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative
  Model
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model
Soheil Kolouri
Phillip E. Pope
Charles E. Martin
Gustavo K. Rohde
29
94
0
05 Apr 2018
Generative Modeling using the Sliced Wasserstein Distance
Generative Modeling using the Sliced Wasserstein Distance
Ishani Deshpande
Ziyu Zhang
Alex Schwing
GAN
41
223
0
29 Mar 2018
Improving GANs Using Optimal Transport
Improving GANs Using Optimal Transport
Tim Salimans
Han Zhang
Alec Radford
Dimitris N. Metaxas
OT
GAN
47
323
0
15 Mar 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
61
1,457
0
13 Jan 2018
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
52
333
0
12 Dec 2017
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
111
1,347
0
30 Nov 2017
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
Soheil Kolouri
Gustavo K. Rohde
Heiko Hoffmann
43
121
0
15 Nov 2017
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
Amelie Royer
Konstantinos Bousmalis
Stephan Gouws
Fred Bertsch
Inbar Mosseri
Forrester Cole
Kevin Patrick Murphy
GAN
99
143
0
14 Nov 2017
Understanding GANs: the LQG Setting
Understanding GANs: the LQG Setting
Soheil Feizi
Changho Suh
F. Xia
David Tse
64
63
0
30 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
102
7,318
0
27 Oct 2017
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
265
1,646
0
11 Oct 2017
Sharp asymptotic and finite-sample rates of convergence of empirical
  measures in Wasserstein distance
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Jonathan Niles-Weed
Francis R. Bach
130
417
0
01 Jul 2017
Fisher GAN
Fisher GAN
Youssef Mroueh
Tom Sercu
GAN
AI4CE
41
132
0
26 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
50
720
0
24 May 2017
MAGAN: Margin Adaptation for Generative Adversarial Networks
MAGAN: Margin Adaptation for Generative Adversarial Networks
Ruohan Wang
Antoine Cully
H. Chang
Y. Demiris
GAN
42
64
0
12 Apr 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi
Hao Zhang
P. Tan
Minglun Gong
GAN
VLM
100
1,940
0
08 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
134
9,509
0
31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
92
1,153
0
31 Mar 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
98
5,556
0
30 Mar 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
125
2,731
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
41
687
0
02 Mar 2017
McGan: Mean and Covariance Feature Matching GAN
McGan: Mean and Covariance Feature Matching GAN
Youssef Mroueh
Tom Sercu
Vaibhava Goel
GAN
44
159
0
27 Feb 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
137
4,822
0
26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
74
2,102
0
17 Jan 2017
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
74
1,800
0
22 Dec 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
287
19,560
0
21 Nov 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
82
1,827
0
31 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
232
13,968
0
19 Nov 2015
The Radon cumulative distribution transform and its application to image
  classification
The Radon cumulative distribution transform and its application to image classification
Soheil Kolouri
Se Rim Park
Gustavo K. Rohde
30
92
0
10 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
52
2,320
0
10 Jun 2015
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