ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.07875
  4. Cited By
Wasserstein GAN

Wasserstein GAN

26 January 2017
Martín Arjovsky
Soumith Chintala
Léon Bottou
    GAN
ArXivPDFHTML

Papers citing "Wasserstein GAN"

50 / 692 papers shown
Title
Poincaré Recurrence, Cycles and Spurious Equilibria in
  Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
MLT
22
41
0
28 Oct 2019
Sinkhorn Divergences for Unbalanced Optimal Transport
Sinkhorn Divergences for Unbalanced Optimal Transport
Thibault Séjourné
Jean Feydy
Franccois-Xavier Vialard
A. Trouvé
Gabriel Peyré
OT
30
71
0
28 Oct 2019
Fair Generative Modeling via Weak Supervision
Fair Generative Modeling via Weak Supervision
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
36
134
0
26 Oct 2019
Bridging the Gap Between $f$-GANs and Wasserstein GANs
Bridging the Gap Between fff-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
22
40
0
22 Oct 2019
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Petru Soviany
Claudiu Ardei
Radu Tudor Ionescu
Marius Leordeanu
GAN
22
47
0
20 Oct 2019
Optimal Transport Based Generative Autoencoders
Optimal Transport Based Generative Autoencoders
Oliver Zhang
Ruei-Sung Lin
Yuchuan Gou
GAN
DRL
19
2
0
16 Oct 2019
Demon: Improved Neural Network Training with Momentum Decay
Demon: Improved Neural Network Training with Momentum Decay
John Chen
Cameron R. Wolfe
Zhaoqi Li
Anastasios Kyrillidis
ODL
24
15
0
11 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric?
How Well Do WGANs Estimate the Wasserstein Metric?
Anton Mallasto
Guido Montúfar
Augusto Gerolin
30
25
0
09 Oct 2019
Semantic-aware Image Deblurring
Semantic-aware Image Deblurring
Fuhai Chen
Rongrong Ji
Chengpeng Dai
Xiaoshuai Sun
Chia-Wen Lin
Jiayi Ji
Baochang Zhang
Feiyue Huang
Liujuan Cao
BDL
VLM
25
6
0
09 Oct 2019
ATFaceGAN: Single Face Image Restoration and Recognition from
  Atmospheric Turbulence
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence
Chun Pong Lau
Hossein Souri
Rama Chellappa
CVBM
28
30
0
07 Oct 2019
PPGAN: Privacy-preserving Generative Adversarial Network
PPGAN: Privacy-preserving Generative Adversarial Network
Yi Liu
Jialiang Peng
James J. Q. Yu
Yi Wu
32
70
0
04 Oct 2019
On the estimation of the Wasserstein distance in generative models
On the estimation of the Wasserstein distance in generative models
Thomas Pinetz
Daniel Soukup
Thomas Pock
GAN
19
9
0
02 Oct 2019
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
131
101
0
28 Sep 2019
Conditional Transferring Features: Scaling GANs to Thousands of Classes
  with 30% Less High-quality Data for Training
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training
Chunpeng Wu
W. Wen
Yiran Chen
H. Li
GAN
30
2
0
25 Sep 2019
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone
  Conversations
When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations
John Gideon
Katie Matton
Steve Anderau
M. McInnis
E. Provost
10
10
0
25 Sep 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Arna Ghosh
Richard Y. Zhang
P. Dokania
Oliver Wang
Alexei A. Efros
Philip Torr
Eli Shechtman
VLM
DiffM
19
130
0
24 Sep 2019
LoGANv2: Conditional Style-Based Logo Generation with Generative
  Adversarial Networks
LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
Cedric Oeldorf
Gerasimos Spanakis
GAN
24
23
0
22 Sep 2019
Synthesis of Realistic ECG using Generative Adversarial Networks
Synthesis of Realistic ECG using Generative Adversarial Networks
Anne Marie Delaney
Eoin Brophy
T. Ward
32
79
0
19 Sep 2019
Dual Encoder-Decoder based Generative Adversarial Networks for
  Disentangled Facial Representation Learning
Dual Encoder-Decoder based Generative Adversarial Networks for Disentangled Facial Representation Learning
Cong Hu
Zhenhua Feng
Xiaojun Wu
J. Kittler
CVBM
GAN
DRL
24
11
0
19 Sep 2019
Wasserstein Distance Based Domain Adaptation for Object Detection
Wasserstein Distance Based Domain Adaptation for Object Detection
Pengcheng Xu
Prudhvi K. Gurram
Gene T. Whipps
Rama Chellappa
OOD
36
21
0
18 Sep 2019
Adversarial Representation Learning for Robust Patient-Independent
  Epileptic Seizure Detection
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection
Xiang Zhang
Lina Yao
Manqing Dong
Zhe Liu
Yu Zhang
Yong Li
OOD
AAML
27
85
0
18 Sep 2019
BasketballGAN: Generating Basketball Play Simulation Through Sketching
BasketballGAN: Generating Basketball Play Simulation Through Sketching
Hsin-Ying Hsieh
Chieh-Yu Chen
Yu-Shuen Wang
Jung-Hong Chuang
12
18
0
16 Sep 2019
How Old Are You? Face Age Translation with Identity Preservation Using
  GANs
How Old Are You? Face Age Translation with Identity Preservation Using GANs
Ning Wang
Zhaoxiang Liu
Jianfeng Huang
Shiguo Lian
Yimin Lin
GAN
CVBM
18
4
0
11 Sep 2019
Learning Distributions Generated by One-Layer ReLU Networks
Learning Distributions Generated by One-Layer ReLU Networks
Shanshan Wu
A. Dimakis
Sujay Sanghavi
11
22
0
04 Sep 2019
Spectral Regularization for Combating Mode Collapse in GANs
Spectral Regularization for Combating Mode Collapse in GANs
Kanglin Liu
Wenming Tang
Fei Zhou
Guoping Qiu
GAN
DRL
33
81
0
29 Aug 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
Haoliang Sun
Ronak R. Mehta
H. Zhou
Z. Huang
Sterling C. Johnson
V. Prabhakaran
Vikas Singh
MedIm
31
46
0
21 Aug 2019
Generalization in Generative Adversarial Networks: A Novel Perspective
  from Privacy Protection
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu
Shiwan Zhao
Chaochao Chen
Haoyang Xu
Li Wang
Xiaolu Zhang
Guangyu Sun
Jun Zhou
30
45
0
21 Aug 2019
DeepScaffold: a comprehensive tool for scaffold-based de novo drug
  discovery using deep learning
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
Yibo Li
Jianxing Hu
Yanxing Wang
Jielong Zhou
L. Zhang
Zhenming Liu
30
92
0
20 Aug 2019
FSGAN: Subject Agnostic Face Swapping and Reenactment
FSGAN: Subject Agnostic Face Swapping and Reenactment
Y. Nirkin
Y. Keller
Tal Hassner
CVBM
PICV
39
569
0
16 Aug 2019
Iterative Update and Unified Representation for Multi-Agent
  Reinforcement Learning
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning
Jiancheng Long
Hongming Zhang
Tianyang Yu
Bo Xu
13
0
0
16 Aug 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal
  Statistical Rate and Global Landscape Analysis
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Shuang Qiu
Xiaohan Wei
Zhuoran Yang
35
24
0
14 Aug 2019
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn
T. Martyniuk
Junru Wu
Zhangyang Wang
3DV
28
875
0
10 Aug 2019
Conditional Generative Adversarial Networks for Data Augmentation and
  Adaptation in Remotely Sensed Imagery
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
J. Howe
Kyle Pula
Aaron A. Reite
GAN
39
13
0
10 Aug 2019
Learning to Predict 3D Objects with an Interpolation-based
  Differentiable Renderer
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Wenzheng Chen
Jun Gao
Huan Ling
Edward James Smith
J. Lehtinen
Alec Jacobson
Sanja Fidler
3DH
3DV
27
361
0
03 Aug 2019
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation
Victor Bouvier
P. Very
C´eline Hudelot
C. Chastagnol
19
6
0
29 Jul 2019
ChromaGAN: Adversarial Picture Colorization with Semantic Class
  Distribution
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
Patricia Vitoria
Lara Raad
C. Ballester
GAN
19
175
0
23 Jul 2019
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction
Divya Saxena
Jiannong Cao
AI4TS
21
35
0
19 Jul 2019
Adversarial Video Generation on Complex Datasets
Adversarial Video Generation on Complex Datasets
Aidan Clark
Jeff Donahue
Karen Simonyan
VGen
GAN
27
74
0
15 Jul 2019
FMRI data augmentation via synthesis
FMRI data augmentation via synthesis
Peiye Zhuang
A. Schwing
Oluwasanmi Koyejo
DiffM
MedIm
24
43
0
13 Jul 2019
Landmark Assisted CycleGAN for Cartoon Face Generation
Landmark Assisted CycleGAN for Cartoon Face Generation
Ruizheng Wu
Xiaodong Gu
Xin Tao
Xiaoyong Shen
Yu-Wing Tai
Jiaya Jia
GAN
CVBM
30
31
0
02 Jul 2019
FlipTest: Fairness Testing via Optimal Transport
FlipTest: Fairness Testing via Optimal Transport
Emily Black
Samuel Yeom
Matt Fredrikson
19
93
0
21 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder
Disentangled Inference for GANs with Latently Invertible Autoencoder
Jiapeng Zhu
Deli Zhao
Bo-Wen Zhang
Bolei Zhou
GAN
DRL
30
35
0
19 Jun 2019
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Berk Dogan
Shuhang Gu
Radu Timofte
GAN
CVBM
6
86
0
17 Jun 2019
Learning Part Generation and Assembly for Structure-aware Shape
  Synthesis
Learning Part Generation and Assembly for Structure-aware Shape Synthesis
Jun Li
Chengjie Niu
Kai Xu
3DPC
19
74
0
16 Jun 2019
Generating and Exploiting Probabilistic Monocular Depth Estimates
Generating and Exploiting Probabilistic Monocular Depth Estimates
Zhihao Xia
Patrick Sullivan
Ayan Chakrabarti
UQCV
VLM
MDE
22
34
0
13 Jun 2019
Style Generator Inversion for Image Enhancement and Animation
Style Generator Inversion for Image Enhancement and Animation
Aviv Gabbay
Yedid Hoshen
16
17
0
05 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedIm
EGVM
29
90
0
04 Jun 2019
Learning Representations by Humans, for Humans
Learning Representations by Humans, for Humans
Sophie Hilgard
Nir Rosenfeld
M. Banaji
Jack Cao
David C. Parkes
OCL
HAI
AI4CE
34
29
0
29 May 2019
Non-Parametric Priors For Generative Adversarial Networks
Non-Parametric Priors For Generative Adversarial Networks
Rajhans Singh
Pavan Turaga
Suren Jayasuriya
Ravi Garg
M. Braun
GAN
21
13
0
16 May 2019
An Information Theoretic Interpretation to Deep Neural Networks
An Information Theoretic Interpretation to Deep Neural Networks
Shao-Lun Huang
Xiangxiang Xu
Lizhong Zheng
G. Wornell
FAtt
22
41
0
16 May 2019
Previous
123...789...121314
Next