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Wasserstein GAN

Wasserstein GAN

26 January 2017
Martín Arjovsky
Soumith Chintala
Léon Bottou
    GAN
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Papers citing "Wasserstein GAN"

50 / 770 papers shown
Title
Regularization via Mass Transportation
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
Peyman Mohajerin Esfahani
OOD
30
203
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
26
208
0
23 Oct 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative
  Adversarial Networks
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
41
1,050
0
19 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
57
2,975
0
19 Oct 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning
Burn-In Demonstrations for Multi-Modal Imitation Learning
Alex Kuefler
Mykel J. Kochenderfer
29
24
0
13 Oct 2017
Learning Independent Features with Adversarial Nets for Non-linear ICA
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel
Yoshua Bengio
OOD
CML
27
93
0
13 Oct 2017
Socially Compliant Navigation through Raw Depth Inputs with Generative
  Adversarial Imitation Learning
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
L. Tai
Jingwei Zhang
Ming Liu
Wolfram Burgard
GAN
19
176
0
06 Oct 2017
Learning Energy-Based Models as Generative ConvNets via Multi-grid
  Modeling and Sampling
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling
Ruiqi Gao
Yang Lu
Junpei Zhou
Song-Chun Zhu
Ying Nian Wu
39
78
0
26 Sep 2017
MuseGAN: Multi-track Sequential Generative Adversarial Networks for
  Symbolic Music Generation and Accompaniment
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong
Wen-Yi Hsiao
Li-Chia Yang
Yi-Hsuan Yang
MGen
GAN
23
537
0
19 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRL
GAN
38
70
0
06 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
46
57
0
04 Sep 2017
Compressed Sensing MRI Reconstruction using a Generative Adversarial
  Network with a Cyclic Loss
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss
Tran Minh Quan
Thanh Nguyen-Duc
W. Jeong
GAN
MedIm
43
540
0
03 Sep 2017
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj
Paolo Gasti
G. Ateniese
Fernando Perez-Cruz
GAN
30
246
0
01 Sep 2017
3D Object Reconstruction from a Single Depth View with Adversarial
  Learning
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang
Hongkai Wen
Sen Wang
R. Clark
Andrew Markham
A. Trigoni
GAN
33
198
0
26 Aug 2017
Sharpness-aware Low dose CT denoising using conditional generative
  adversarial network
Sharpness-aware Low dose CT denoising using conditional generative adversarial network
Xin Yi
P. Babyn
GAN
MedIm
28
261
0
22 Aug 2017
Statistics of Deep Generated Images
Statistics of Deep Generated Images
Yu Zeng
Huchuan Lu
Ali Borji
GAN
29
14
0
09 Aug 2017
Multi-Generator Generative Adversarial Nets
Multi-Generator Generative Adversarial Nets
Q. Hoang
T. Nguyen
Trung Le
Dinh Q. Phung
GAN
25
65
0
08 Aug 2017
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face
  Recognition
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
Ran He
Xiang Wu
Zhenan Sun
Tieniu Tan
CVBM
30
277
0
08 Aug 2017
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised
  non-linear dictionary learning
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
M. Schmitz
Matthieu Heitz
Nicolas Bonneel
Fred-Maurice Ngole-Mboula
D. Coeurjolly
Marco Cuturi
Gabriel Peyré
Jean-Luc Starck
OT
41
135
0
07 Aug 2017
Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative
Zhiming Zhou
Weinan Zhang
Jun Wang
32
19
0
05 Aug 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
M. Kalra
Ge Wang
GAN
MedIm
32
1,188
0
03 Aug 2017
Generative Semantic Manipulation with Contrasting GAN
Generative Semantic Manipulation with Contrasting GAN
Xiaodan Liang
Huatian Zhang
Eric Xing
GAN
23
53
0
01 Aug 2017
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Edward James Smith
D. Meger
GAN
34
171
0
29 Jul 2017
Mutual Alignment Transfer Learning
Mutual Alignment Transfer Learning
Markus Wulfmeier
Ingmar Posner
Pieter Abbeel
16
60
0
25 Jul 2017
Likelihood Estimation for Generative Adversarial Networks
Likelihood Estimation for Generative Adversarial Networks
Hamid Eghbalzadeh
Gerhard Widmer
GAN
32
8
0
24 Jul 2017
Aesthetic-Driven Image Enhancement by Adversarial Learning
Aesthetic-Driven Image Enhancement by Adversarial Learning
Yubin Deng
Chen Change Loy
Xiaoou Tang
GAN
28
121
0
17 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming Liu
Xiaodong Yang
Jan Kautz
GAN
93
1,131
0
17 Jul 2017
Robust Imitation of Diverse Behaviors
Robust Imitation of Diverse Behaviors
Ziyun Wang
J. Merel
Scott E. Reed
Greg Wayne
Nando de Freitas
N. Heess
31
195
0
10 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas J. Guibas
3DV
3DPC
36
88
0
08 Jul 2017
Wasserstein Distance Guided Representation Learning for Domain
  Adaptation
Wasserstein Distance Guided Representation Learning for Domain Adaptation
Jian Shen
Yanru Qu
Weinan Zhang
Yong Yu
OOD
28
31
0
05 Jul 2017
Skeleton-aided Articulated Motion Generation
Skeleton-aided Articulated Motion Generation
Yichao Yan
Jingwei Xu
Bingbing Ni
Xiaokang Yang
3DH
35
87
0
04 Jul 2017
Adversarial Image Alignment and Interpolation
Adversarial Image Alignment and Interpolation
Viren Jain
MedIm
25
9
0
30 Jun 2017
On the Limitations of First-Order Approximation in GAN Dynamics
On the Limitations of First-Order Approximation in GAN Dynamics
Jerry Li
A. Madry
John Peebles
Ludwig Schmidt
25
55
0
29 Jun 2017
A-NICE-MC: Adversarial Training for MCMC
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song
Shengjia Zhao
Stefano Ermon
BDL
OOD
29
109
0
23 Jun 2017
Cross-language Learning with Adversarial Neural Networks: Application to
  Community Question Answering
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering
Chenyu You
Preslav Nakov
Lluís Màrquez i Villodre
Israa Jaradat
161
52
0
21 Jun 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
DRL
GAN
25
263
0
15 Jun 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan
J. Zico Kolter
GAN
46
348
0
13 Jun 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using
  Generative Adversarial Networks
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
M. Mustafa
Deborah Bard
W. Bhimji
Z. Lukić
Rami Al-Rfou
J. Kratochvil
GAN
19
123
0
07 Jun 2017
Synthesizing Filamentary Structured Images with GANs
Synthesizing Filamentary Structured Images with GANs
He Zhao
Huiqi Li
Li Cheng
GAN
MedIm
30
26
0
07 Jun 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedIm
GAN
24
541
0
06 Jun 2017
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
61
619
0
01 Jun 2017
Depth Structure Preserving Scene Image Generation
Wendong Zhang
Bingbing Ni
Yichao Yan
Jingwei Xu
Xiaokang Yang
GAN
35
4
0
01 Jun 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
30
147
0
30 May 2017
The Numerics of GANs
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
43
455
0
30 May 2017
Near-linear time approximation algorithms for optimal transport via
  Sinkhorn iteration
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
23
583
0
26 May 2017
Pose Guided Person Image Generation
Pose Guided Person Image Generation
Liqian Ma
Xu Jia
Qianru Sun
Bernt Schiele
Tinne Tuytelaars
Luc Van Gool
GAN
46
816
0
25 May 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in
  Generative Models
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
Aditya Grover
Manik Dhar
Stefano Ermon
GAN
39
24
0
24 May 2017
Stabilizing GAN Training with Multiple Random Projections
Stabilizing GAN Training with Multiple Random Projections
Behnam Neyshabur
Srinadh Bhojanapalli
Ayan Chakrabarti
10
82
0
22 May 2017
On Convergence and Stability of GANs
On Convergence and Stability of GANs
Naveen Kodali
Jacob D. Abernethy
James Hays
Z. Kira
GAN
22
87
0
19 May 2017
Gradient Estimators for Implicit Models
Gradient Estimators for Implicit Models
Yingzhen Li
Richard Turner
35
104
0
19 May 2017
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