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
Pixel Sampling for Style Preserving Face Pose Editing
Pixel Sampling for Style Preserving Face Pose Editing
Xiangnan Yin
Di Huang
Hongyu Yang
Zehua Fu
Yunhong Wang
Liming Chen
CVBM
32
1
0
14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
30
118
0
12 Jun 2021
Learning the Precise Feature for Cluster Assignment
Learning the Precise Feature for Cluster Assignment
Yanhai Gan
Xinghui Dong
Huiyu Zhou
Feng Gao
Junyu Dong
33
4
0
11 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with
  Normalizing Flows
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows
Claudius Krause
David Shih
AI4CE
31
81
0
09 Jun 2021
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
Kuan Zhang
Haoji Hu
Kenneth A. Philbrick
G. Conte
Joseph D. Sobek
Pouria Rouzrokh
Bradley J. Erickson
GAN
MedIm
23
76
0
04 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and
  Applications
A Survey on Optimal Transport for Machine Learning: Theory and Applications
Luis Caicedo Torres
Luiz Manella Pereira
M. Amini
OOD
OT
34
47
0
03 Jun 2021
Semantic Palette: Guiding Scene Generation with Class Proportions
Semantic Palette: Guiding Scene Generation with Class Proportions
G. L. Moing
Tuan-Hung Vu
Himalaya Jain
P. Pérez
Matthieu Cord
27
16
0
03 Jun 2021
TransferI2I: Transfer Learning for Image-to-Image Translation from Small
  Datasets
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
Yaxing Wang
Héctor Laria Mantecón
Joost van de Weijer
Laura Lopez-Fuentes
Bogdan Raducanu
VLM
33
9
0
13 May 2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Scalable Personalised Item Ranking through Parametric Density Estimation
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
38
0
0
11 May 2021
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
Yong Dai
Jian-Dong Liu
Jian Zhang
H. Fu
Zenglin Xu
30
12
0
09 May 2021
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance
  Imaging -- Mini Review, Comparison and Perspectives
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
Guang Yang
Jun Lv
Yutong Chen
Jiahao Huang
Jin Zhu
MedIm
26
9
0
04 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a
  Geometry-Based Variational Autoencoder
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
36
62
0
30 Apr 2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to
  Limited Data Domains
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
Yaxing Wang
Abel Gonzalez-Garcia
Chenshen Wu
Luis Herranz
Fahad Shahbaz Khan
Shangling Jui
Joost van de Weijer
32
6
0
28 Apr 2021
End-to-End Video-To-Speech Synthesis using Generative Adversarial
  Networks
End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks
Rodrigo Mira
Konstantinos Vougioukas
Pingchuan Ma
Stavros Petridis
Björn W. Schuller
M. Pantic
29
43
0
27 Apr 2021
Principal Component Density Estimation for Scenario Generation Using
  Normalizing Flows
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
Eike Cramer
Alexander Mitsos
Raúl Tempone
Manuel Dahmen
29
13
0
21 Apr 2021
Quaternion Generative Adversarial Networks
Quaternion Generative Adversarial Networks
Eleonora Grassucci
Edoardo Cicero
Danilo Comminiello
27
33
0
19 Apr 2021
Applications of physics-informed scientific machine learning in
  subsurface science: A survey
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
29
9
0
10 Apr 2021
Protein sequence design with deep generative models
Protein sequence design with deep generative models
Zachary Wu
Kadina E. Johnston
F. Arnold
Kevin Kaichuang Yang
19
134
0
09 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
35
142
0
07 Apr 2021
ReMix: Towards Image-to-Image Translation with Limited Data
ReMix: Towards Image-to-Image Translation with Limited Data
Jie Cao
Luanxuan Hou
Ming-Hsuan Yang
Ran He
Zhenan Sun
29
24
0
31 Mar 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware
  Regression
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Wanhua Li
Xiaoke Huang
Jiwen Lu
Jianjiang Feng
Jie Zhou
UQCV
30
62
0
25 Mar 2021
Genetic column generation: Fast computation of high-dimensional
  multi-marginal optimal transport problems
Genetic column generation: Fast computation of high-dimensional multi-marginal optimal transport problems
G. Friesecke
Andreas S. Schulz
Daniel Vogler
OT
19
17
0
23 Mar 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
27
21
0
17 Mar 2021
Mean Field Game GAN
Mean Field Game GAN
Shaojun Ma
Haomin Zhou
H. Zha
GAN
AI4CE
25
0
0
14 Mar 2021
An Introduction to Deep Generative Modeling
An Introduction to Deep Generative Modeling
Lars Ruthotto
E. Haber
AI4CE
33
220
0
09 Mar 2021
A Spectral Enabled GAN for Time Series Data Generation
A Spectral Enabled GAN for Time Series Data Generation
Kaleb E. Smith
Anthony O. Smith
GAN
30
12
0
02 Mar 2021
Information-geometry of physics-informed statistical manifolds and its
  use in data assimilation
Information-geometry of physics-informed statistical manifolds and its use in data assimilation
F. Boso
D. Tartakovsky
AI4CE
47
8
0
01 Mar 2021
A Brief Introduction to Generative Models
A Brief Introduction to Generative Models
Alex Lamb
GAN
VLM
19
16
0
27 Feb 2021
Off-Policy Imitation Learning from Observations
Off-Policy Imitation Learning from Observations
Zhuangdi Zhu
Kaixiang Lin
Bo Dai
Jiayu Zhou
OffRL
26
86
0
25 Feb 2021
Generative Speech Coding with Predictive Variance Regularization
Generative Speech Coding with Predictive Variance Regularization
W. Kleijn
Andrew Storus
Michael Chinen
Tom Denton
Felicia S. C. Lim
Alejandro Luebs
Jan Skoglund
Hengchin Yeh
26
67
0
18 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
59
186
0
17 Feb 2021
Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware
  Generative Adversarial Networks
Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks
Jonas Denck
J. Guehring
Andreas Maier
E. Rothgang
MedIm
GAN
33
9
0
17 Feb 2021
OntoZSL: Ontology-enhanced Zero-shot Learning
OntoZSL: Ontology-enhanced Zero-shot Learning
Yuxia Geng
Jiaoyan Chen
Zhuo Chen
Jeff Z. Pan
Zhiquan Ye
Zonggang Yuan
Yantao Jia
Huajun Chen
VLM
36
80
0
15 Feb 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can
  Scale Up
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yi Ding
Shiyu Chang
Zhangyang Wang
ViT
29
382
0
14 Feb 2021
Wasserstein Proximal of GANs
Wasserstein Proximal of GANs
A. Lin
Wuchen Li
Stanley Osher
Guido Montúfar
GAN
24
46
0
13 Feb 2021
Deep Iteration Assisted by Multi-level Obey-pixel Network Discriminator
  (DIAMOND) for Medical Image Recovery
Deep Iteration Assisted by Multi-level Obey-pixel Network Discriminator (DIAMOND) for Medical Image Recovery
Moran Xu
Dianlin Hu
Weifei Wu
Weiwen Wu
GAN
MedIm
30
0
0
08 Feb 2021
GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial
  Networks
GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks
Tianming Zhao
Chunyang Chen
Yuanning Liu
Xiaodong Zhu Jilin University
29
56
0
25 Jan 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed
  Distributions
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd P. Huster
Jérémy E. Cohen
Zinan Lin
Kevin S. Chan
Charles A. Kamhoua
Nandi O. Leslie
C. Chiang
Vyas Sekar
GAN
46
26
0
22 Jan 2021
Generative Replay-based Continual Zero-Shot Learning
Generative Replay-based Continual Zero-Shot Learning
C. Gautam
S. Parameswaran
Ashish Mishra
Suresh Sundaram
CLL
VLM
28
8
0
22 Jan 2021
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Xiaocong Chen
Yun Yvonna Li
Lina Yao
Ehsan Adeli
Yu Zhang
GAN
OOD
MedIm
54
17
0
12 Jan 2021
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape
  Optimization
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization
Yuyang Wang
K. Shimada
A. Farimani
21
29
0
12 Jan 2021
Learning quantum data with the quantum Earth Mover's distance
Learning quantum data with the quantum Earth Mover's distance
B. Kiani
Giacomo De Palma
M. Marvian
Zi-Wen Liu
S. Lloyd
21
45
0
08 Jan 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and
  Generation
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
25
23
0
07 Jan 2021
A spin-glass model for the loss surfaces of generative adversarial
  networks
A spin-glass model for the loss surfaces of generative adversarial networks
Nicholas P. Baskerville
J. Keating
F. Mezzadri
J. Najnudel
GAN
30
12
0
07 Jan 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks
Multidimensional Uncertainty-Aware Evidential Neural Networks
Yibo Hu
Yuzhe Ou
Xujiang Zhao
Jin-Hee Cho
Feng Chen
EDL
UQCV
AAML
33
23
0
26 Dec 2020
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis
  and Analysis
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis
Jianwen Xie
Zilong Zheng
Ruiqi Gao
Wenguan Wang
Song-Chun Zhu
Ying Nian Wu
3DV
22
49
0
25 Dec 2020
Entropy-regularized optimal transport on multivariate normal and
  q-normal distributions
Entropy-regularized optimal transport on multivariate normal and q-normal distributions
Qijun Tong
Kei Kobayashi
OT
21
7
0
19 Dec 2020
Combating Mode Collapse in GAN training: An Empirical Analysis using
  Hessian Eigenvalues
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues
Ricard Durall
Avraam Chatzimichailidis
P. Labus
J. Keuper
GAN
30
57
0
17 Dec 2020
Projected Distribution Loss for Image Enhancement
Projected Distribution Loss for Image Enhancement
M. Delbracio
Hossein Talebi
P. Milanfar
SupR
18
35
0
16 Dec 2020
Artificial Dummies for Urban Dataset Augmentation
Artificial Dummies for Urban Dataset Augmentation
Antonín Vobecký
David Hurych
Michal Uřičář
P. Pérez
Josef Sivic
3DH
21
15
0
15 Dec 2020
Previous
12345...121314
Next