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 / 734 papers shown
Title
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
876
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
24
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
Generative Adversarial Networks are Special Cases of Artificial
  Curiosity (1990) and also Closely Related to Predictability Minimization
  (1991)
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
J. Schmidhuber
GAN
DRL
17
57
0
11 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
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
Miao Wang
Guo-Ye Yang
Ruilong Li
Runze Liang
Song-Hai Zhang
P. Hall
Shimin Hu
GAN
16
86
0
04 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning
Partial Scanning Transmission Electron Microscopy with Deep Learning
Jeffrey M. Ede
R. Beanland
MedIm
15
22
0
31 May 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
Mask-Guided Portrait Editing with Conditional GANs
Mask-Guided Portrait Editing with Conditional GANs
Shuyang Gu
Jianmin Bao
Hao Yang
Dong Chen
Fang Wen
Lu Yuan
GAN
CVBM
12
135
0
24 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
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating
  Generative Adversarial Networks
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang
Qi She
Alan F. Smeaton
T. Ward
Graham Healy
EGVM
21
11
0
10 May 2019
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast
  using Collaborative GAN
Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
Dongwook Lee
Won-Jin Moon
J. C. Ye
GAN
MedIm
36
8
0
10 May 2019
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative
  Adversarial Networks with Increased Receptive Field
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field
Yicheng Chen
A. Jakary
Sivakami Avadiappan
Christopher P. Hess
J. Lupo
MedIm
21
60
0
08 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie
Minshuo Chen
Haoming Jiang
T. Zhao
H. Zha
OT
13
42
0
01 May 2019
Learning Fair Representations via an Adversarial Framework
Learning Fair Representations via an Adversarial Framework
Rui Feng
Yang Yang
Yuehan Lyu
Chenhao Tan
Yizhou Sun
Chunping Wang
FaML
17
55
0
30 Apr 2019
Generating protein sequences from antibiotic resistance genes data using
  Generative Adversarial Networks
Generating protein sequences from antibiotic resistance genes data using Generative Adversarial Networks
Prabal Chhibbar
Arpita Joshi
GAN
8
12
0
28 Apr 2019
A Survey on Face Data Augmentation
A Survey on Face Data Augmentation
Xiang Wang
Kai Wang
Kai Wang
CVBM
20
130
0
26 Apr 2019
Time Series Simulation by Conditional Generative Adversarial Net
Time Series Simulation by Conditional Generative Adversarial Net
Rao Fu
Jie Chen
Shutian Zeng
Yiping Zhuang
Agus Sudjianto
AI4TS
OOD
GAN
32
47
0
25 Apr 2019
STGAN: A Unified Selective Transfer Network for Arbitrary Image
  Attribute Editing
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Ming-Yu Liu
Yukang Ding
Min Xia
Xiao-Chang Liu
Errui Ding
W. Zuo
Shilei Wen
33
326
0
22 Apr 2019
From GAN to WGAN
From GAN to WGAN
Lilian Weng
GAN
16
109
0
18 Apr 2019
Out-of-Distribution Detection for Generalized Zero-Shot Action
  Recognition
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal
Sanath Narayan
Sai Kumar Dwivedi
Vikram Gupta
Shuaib Ahmed
Fahad Shahbaz Khan
Ling Shao
OODD
22
141
0
18 Apr 2019
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised
  Video Summarization
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li-xin Yuan
Francis E. H. Tay
Ping Li
Li Zhou
Jiashi Feng
24
112
0
17 Apr 2019
Unsupervised Feature Learning for Environmental Sound Classification
  Using Weighted Cycle-Consistent Generative Adversarial Network
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
29
43
0
08 Apr 2019
Context-aware Human Motion Prediction
Context-aware Human Motion Prediction
Enric Corona
Albert Pumarola
Guillem Alenyà
Francesc Moreno-Noguer
3DH
11
139
0
06 Apr 2019
Probabilistic Forecasting of Sensory Data with Generative Adversarial
  Networks - ForGAN
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
Alireza Koochali
P. Schichtel
Sheraz Ahmed
Andreas Dengel
AI4TS
22
72
0
29 Mar 2019
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial
  Networks
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks
Zhe He
Adrian Spurr
Xucong Zhang
Otmar Hilliges
GAN
19
53
0
29 Mar 2019
Cross-Subject Transfer Learning in Human Activity Recognition Systems
  using Generative Adversarial Networks
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks
Elnaz Soleimani
Ehsan Nazerfard
GAN
22
120
0
29 Mar 2019
Attention-Guided Generative Adversarial Networks for Unsupervised
  Image-to-Image Translation
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
Hao Tang
Dan Xu
N. Sebe
Yan Yan
GAN
18
124
0
28 Mar 2019
Improving Cross-Corpus Speech Emotion Recognition with Adversarial
  Discriminative Domain Generalization (ADDoG)
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
John Gideon
M. McInnis
E. Provost
11
107
0
28 Mar 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSL
DRL
30
116
0
28 Mar 2019
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain
  Recommender Systems
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
Cheng Wang
Mathias Niepert
Hui Li
DRL
6
73
0
26 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GAN
VLM
36
483
0
25 Mar 2019
Variational Inference with Latent Space Quantization for Adversarial
  Resilience
Variational Inference with Latent Space Quantization for Adversarial Resilience
Vinay Kyatham
P. PrathoshA.
Tarun Kumar Yadav
Deepak Mishra
Dheeraj Mundhra
AAML
19
3
0
24 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations
  by Autoencoding Variational Transformations
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi
Liheng Zhang
Chang Wen Chen
Qi Tian
DRL
21
42
0
23 Mar 2019
A Principled Approach for Learning Task Similarity in Multitask Learning
A Principled Approach for Learning Task Similarity in Multitask Learning
Changjian Shui
Mahdieh Abbasi
Louis-Émile Robitaille
Boyu Wang
Christian Gagné
29
56
0
21 Mar 2019
Detecting GAN generated Fake Images using Co-occurrence Matrices
Detecting GAN generated Fake Images using Co-occurrence Matrices
L. Nataraj
Tajuddin Manhar Mohammed
S. Chandrasekaran
A. Flenner
Jawadul H. Bappy
A. Roy-Chowdhury
B. S. Manjunath
GAN
41
268
0
15 Mar 2019
Previous
123...8910...131415
Next