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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"

29 / 779 papers shown
Title
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
45
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
13
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
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
24
53
0
15 May 2017
Geometric GAN
Geometric GAN
Jae Hyun Lim
J. C. Ye
GAN
26
516
0
08 May 2017
GRASS: Generative Recursive Autoencoders for Shape Structures
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li
Kai Xu
S. Chaudhuri
Ersin Yumer
Hao Zhang
Leonidas J. Guibas
3DV
61
185
0
05 May 2017
A New Type of Neurons for Machine Learning
A New Type of Neurons for Machine Learning
Fenglei Fan
W. Cong
Ge Wang
22
69
0
26 Apr 2017
On the Effects of Batch and Weight Normalization in Generative
  Adversarial Networks
On the Effects of Batch and Weight Normalization in Generative Adversarial Networks
Sitao Xiang
Hao Li
GAN
35
83
0
13 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
27
304
0
10 Apr 2017
Voice Conversion from Unaligned Corpora using Variational Autoencoding
  Wasserstein Generative Adversarial Networks
Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks
Chin-Cheng Hsu
Hsin-Te Hwang
Yi-Chiao Wu
Yu Tsao
H. Wang
DRL
37
314
0
04 Apr 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
23
242
0
22 Mar 2017
GP-GAN: Towards Realistic High-Resolution Image Blending
GP-GAN: Towards Realistic High-Resolution Image Blending
Huikai Wu
Shuai Zheng
Junge Zhang
Kaiqi Huang
GAN
30
255
0
21 Mar 2017
Recurrent Topic-Transition GAN for Visual Paragraph Generation
Recurrent Topic-Transition GAN for Visual Paragraph Generation
Xiaodan Liang
Zhiting Hu
Huatian Zhang
Chuang Gan
Eric Xing
GAN
27
200
0
21 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GAN
OOD
57
1,973
0
15 Mar 2017
Improving Neural Machine Translation with Conditional Sequence
  Generative Adversarial Nets
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
Zhen-Le Yang
Wei Chen
Feng Wang
Bo Xu
GAN
AI4CE
36
169
0
15 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models
Towards Deeper Understanding of Variational Autoencoding Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
33
155
0
28 Feb 2017
Boundary-Seeking Generative Adversarial Networks
Boundary-Seeking Generative Adversarial Networks
R. Devon Hjelm
Athul Paul Jacob
Tong Che
Adam Trischler
Kyunghyun Cho
Yoshua Bengio
GAN
23
170
0
27 Feb 2017
On the ability of neural nets to express distributions
On the ability of neural nets to express distributions
Holden Lee
Rong Ge
Tengyu Ma
Andrej Risteski
Sanjeev Arora
BDL
26
84
0
22 Feb 2017
Style Transfer Generative Adversarial Networks: Learning to Play Chess
  Differently
Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently
Muthuraman Chidambaram
Yanjun Qi
GAN
29
27
0
22 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
27
350
0
23 Jan 2017
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
130
4,539
0
13 Nov 2016
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
25
412
0
11 Oct 2016
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