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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"

50 / 692 papers shown
Title
Semantic Layout Manipulation with High-Resolution Sparse Attention
Semantic Layout Manipulation with High-Resolution Sparse Attention
Haitian Zheng
Zhe-nan Lin
Jingwan Lu
Scott D. Cohen
Jianming Zhang
N. Xu
Jiebo Luo
36
14
0
14 Dec 2020
Improved StyleGAN Embedding: Where are the Good Latents?
Improved StyleGAN Embedding: Where are the Good Latents?
Peihao Zhu
Rameen Abdal
Yipeng Qin
John C. Femiani
Peter Wonka
25
116
0
13 Dec 2020
A Deep Learning Approach to Anomaly Sequence Detection for
  High-Resolution Monitoring of Power Systems
A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems
Kursat Rasim Mestav
Xinyi Wang
Lang Tong
AI4TS
15
27
0
09 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks
  and Defenses
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses
Yi Liu
Xingliang Yuan
Ruihui Zhao
Cong Wang
Dusit Niyato
Yefeng Zheng
33
5
0
08 Dec 2020
Spectral Distribution Aware Image Generation
Spectral Distribution Aware Image Generation
Steffen Jung
M. Keuper
OOD
34
34
0
05 Dec 2020
Graph Generative Adversarial Networks for Sparse Data Generation in High
  Energy Physics
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
Raghav Kansal
Javier Mauricio Duarte
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopoulos
GAN
21
24
0
30 Nov 2020
Digital rock reconstruction with user-defined properties using
  conditional generative adversarial networks
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks
Qi Zheng
Dongxiao Zhang
GAN
DiffM
AI4CE
28
26
0
29 Nov 2020
Combining Semantic Guidance and Deep Reinforcement Learning For
  Generating Human Level Paintings
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
Jaskirat Singh
Liang Zheng
11
20
0
25 Nov 2020
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color
  Histograms
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
Mahmoud Afifi
Marcus A. Brubaker
M. S. Brown
GAN
35
105
0
23 Nov 2020
Complexity Controlled Generative Adversarial Networks
Complexity Controlled Generative Adversarial Networks
Himanshu Pant
Jayadeva Jayadeva
Sumit Soman
GAN
22
1
0
20 Nov 2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Hai-Tao Zheng
Ruiyang Liu
Zihao Zhang
Ning Ding
Ying Shen
Li Tao
Haitao Zheng
21
0
0
17 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples
Towards Zero-Shot Learning with Fewer Seen Class Examples
Vinay Kumar Verma
Ashish Mishra
Anubha Pandey
H. Murthy
Piyush Rai
VLM
42
15
0
14 Nov 2020
Population synthesis for urban resident modeling using deep generative
  models
Population synthesis for urban resident modeling using deep generative models
M. Johnsen
Oliver Brandt
Sergio Garrido
Francisco Câmara Pereira
24
11
0
13 Nov 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by
  Transferring from GANs
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
Yaxing Wang
Lu Yu
Joost van de Weijer
VLM
35
16
0
11 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni
Harshit S. Sikchi
Yufei Wang
Tejus Gupta
Lisa Lee
Benjamin Eysenbach
13
72
0
09 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and
  Information Maximization
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis
Yaochu Jin
S. Thomas
GAN
28
13
0
08 Nov 2020
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery
  Detection
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
Hao Zhu
Chaoyou Fu
Qianyi Wu
Wayne Wu
Chao Qian
Ran He
38
32
0
05 Nov 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient
  Flow
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh
Truyen V. Nguyen
29
25
0
04 Nov 2020
Video Generative Adversarial Networks: A Review
Video Generative Adversarial Networks: A Review
Nuha Aldausari
Arcot Sowmya
Nadine Marcus
Gelareh Mohammadi
EGVM
21
102
0
04 Nov 2020
Extended Missing Data Imputation via GANs for Ranking Applications
Extended Missing Data Imputation via GANs for Ranking Applications
Grace Deng
Cuize Han
David S. Matteson
SyDa
28
8
0
04 Nov 2020
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in
  Speech
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech
Kun Zhou
Berrak Sisman
Haizhou Li
DRL
24
40
0
03 Nov 2020
Distances between probability distributions of different dimensions
Distances between probability distributions of different dimensions
Yuhan Cai
Lek-Heng Lim
UD
OOD
16
46
0
01 Nov 2020
EDCNN: Edge enhancement-based Densely Connected Network with Compound
  Loss for Low-Dose CT Denoising
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
Tengfei Liang
Yi Jin
Yidong Li
Tao Wang
Songhe Feng
Congyan Lang
16
94
0
30 Oct 2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
Jiawei Zhang
Peijun Xiao
Ruoyu Sun
Zhi-Quan Luo
33
97
0
29 Oct 2020
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech
  Corpus
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus
Zining Zhang
Bingsheng He
Zhenjie Zhang
10
19
0
24 Oct 2020
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
35
99
0
22 Oct 2020
Importance-Aware Semantic Segmentation in Self-Driving with Discrete
  Wasserstein Training
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Xiaofeng Liu
Yuzhuo Han
S. Bai
Yi Ge
Tianxing Wang
Xu Han
Site Li
J. You
Jun Lu
25
54
0
21 Oct 2020
Generating 3D Molecular Structures Conditional on a Receptor Binding
  Site with Deep Generative Models
Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models
Tomohide Masuda
Matthew Ragoza
D. Koes
DiffM
37
52
0
16 Oct 2020
On the Evaluation of Generative Adversarial Networks By Discriminative
  Models
On the Evaluation of Generative Adversarial Networks By Discriminative Models
A. Torfi
Mohammadreza Beyki
Edward A. Fox
EGVM
24
7
0
07 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
56
6,972
0
06 Oct 2020
AdaLead: A simple and robust adaptive greedy search algorithm for
  sequence design
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
Sam Sinai
Richard Wang
Alexander Whatley
Stewart Slocum
Elina Locane
Eric D. Kelsic
33
77
0
05 Oct 2020
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided
  Generative Adversarial Network
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network
Yi Wei
Zhe Gan
Wenbo Li
Siwei Lyu
Ming-Ching Chang
Lefei Zhang
Jianfeng Gao
Pengchuan Zhang
GAN
CVBM
27
18
0
03 Oct 2020
$f$-GAIL: Learning $f$-Divergence for Generative Adversarial Imitation
  Learning
fff-GAIL: Learning fff-Divergence for Generative Adversarial Imitation Learning
Xin Zhang
Yanhua Li
Ziming Zhang
Zhi-Li Zhang
21
32
0
02 Oct 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating
  the Mode-Collapse Issue
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
Pirazh Khorramshahi
Hossein Souri
Ramalingam Chellappa
S. Feizi
GAN
DRL
30
4
0
24 Sep 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz
  Regularization
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
P. Gyawali
S. Ghimire
Linwei Wang
AAML
25
7
0
23 Sep 2020
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
Yihao Huang
Felix Juefei Xu
Qing Guo
Yang Liu
G. Pu
33
20
0
19 Sep 2020
Learning Functors using Gradient Descent
Learning Functors using Gradient Descent
Bruno Gavranovic
19
5
0
15 Sep 2020
MACE: A Flexible Framework for Membership Privacy Estimation in
  Generative Models
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu
Soumendu Sundar Mukherjee
Xiyang Liu
Shruti Tople
Rahul Dodhia
J. L. Ferres
MIACV
19
11
0
11 Sep 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and
  Relaxation
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Séjourné
François-Xavier Vialard
Gabriel Peyré
OT
30
68
0
09 Sep 2020
Unsupervised Feature Learning by Autoencoder and Prototypical
  Contrastive Learning for Hyperspectral Classification
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
Zeyu Cao
Xiaorun Li
Liaoying Zhao
SSL
13
30
0
02 Sep 2020
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical
  Guarantee
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Junyi Li
Bin Gu
Heng-Chiao Huang
18
41
0
01 Sep 2020
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual
  Feature
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature
Bo Liu
Qiulei Dong
Zhanyi Hu
VLM
30
24
0
29 Aug 2020
MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving
  Protein Populations
MutaGAN: A Seq2seq GAN Framework to Predict Mutations of Evolving Protein Populations
D. S. Berman
Craig Howser
T. Mehoke
Jared D. Evans
32
9
0
26 Aug 2020
CnGAN: Generative Adversarial Networks for Cross-network user preference
  generation for non-overlapped users
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users
Dilruk Perera
Roger Zimmermann
31
27
0
25 Aug 2020
Evaluating Lossy Compression Rates of Deep Generative Models
Evaluating Lossy Compression Rates of Deep Generative Models
Sicong Huang
Alireza Makhzani
Yanshuai Cao
Roger C. Grosse
EGVM
DRL
8
27
0
15 Aug 2020
Flow Field Reconstructions with GANs based on Radial Basis Functions
Flow Field Reconstructions with GANs based on Radial Basis Functions
Liwei Hu
Wenyong Wang
Yu Xiang
Jun Zhang
AI4CE
26
15
0
11 Aug 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation
  and Maximization
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
Zhiwen Zuo
Lei Zhao
Zhizhong Wang
Haibo Chen
Ailin Li
Qijiang Xu
Wei Xing
Dongming Lu
GAN
42
0
0
08 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis:
  Algorithms and Applications
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
30
153
0
06 Aug 2020
Dual Distribution Alignment Network for Generalizable Person
  Re-Identification
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Peixian Chen
Pingyang Dai
Jianzhuang Liu
Feng Zheng
Q. Tian
Rongrong Ji
OOD
18
45
0
27 Jul 2020
Towards Purely Unsupervised Disentanglement of Appearance and Shape for
  Person Images Generation
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation
Hongtao Yang
Tong Zhang
Wenbing Huang
Xuming He
Fatih Porikli
22
4
0
26 Jul 2020
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