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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 / 679 papers shown
Title
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
16
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
540
0
06 Jun 2017
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
41
618
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
22
147
0
30 May 2017
The Numerics of GANs
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
37
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
17
815
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
36
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
8
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
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
20
515
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
55
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
14
69
0
26 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
25
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
29
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
27
255
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
45
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
33
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
30
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
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
21
27
0
22 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
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
349
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
76
4,533
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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