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1704.00028
Cited By
Improved Training of Wasserstein GANs
31 March 2017
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
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Papers citing
"Improved Training of Wasserstein GANs"
50 / 88 papers shown
Title
SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model
Zhanjie Zhang
Quanwei Zhang
Junsheng Luan
Mengyuan Yang
Yun Wang
Lei Zhao
59
1
0
13 May 2025
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Ruijie Wang
Luca Rossetto
Susan Mérillat
Christina Röcke
Mike Martin
Abraham Bernstein
DiffM
MedIm
89
0
0
15 Apr 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
62
0
0
11 Mar 2025
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Riccardo Mazzieri
Jacopo Pegoraro
Michele Rossi
CVBM
61
1
0
10 Mar 2025
IGN : Implicit Generative Networks
Haozheng Luo
Tianyi Wu
Feiyu Han
Zhijun Yan
OffRL
52
1
0
24 Feb 2025
Infrared Image Super-Resolution: Systematic Review, and Future Trends
Y. Huang
Tomo Miyazaki
Xiao-Fang Liu
S. Omachi
SupR
114
12
0
21 Feb 2025
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning
Yuhang Huang
Takashi Kanai
AI4CE
80
1
0
21 Feb 2025
Controllable Unlearning for Image-to-Image Generative Models via
ε
\varepsilon
ε
-Constrained Optimization
Xiaohua Feng
Chao-Jun Chen
Yuyuan Li
Lulu Zhang
Longfei Li
Jun Zhou
Xiaolin Zheng
MU
89
0
0
20 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
101
8
0
18 Feb 2025
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
Isaac Corley
Yufei Huang
50
60
0
12 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
341
0
0
10 Feb 2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training
Chia-Hong Hsu
Shiu-hong Kao
Randall Balestriero
3DV
89
0
0
08 Feb 2025
Generating Spatial Synthetic Populations Using Wasserstein Generative Adversarial Network: A Case Study with EU-SILC Data for Helsinki and Thessaloniki
Vanja Falck
66
2
0
28 Jan 2025
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
82
0
0
24 Jan 2025
Nested Annealed Training Scheme for Generative Adversarial Networks
Chang Wan
Ming-Hsuan Yang
Minglu Li
Yunliang Jiang
Zhonglong Zheng
GAN
68
0
0
20 Jan 2025
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
Debasmita Pal
Arun Ross
GAN
99
1
0
17 Jan 2025
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
Xiao Cui
Mo Zhu
Yulei Qin
Liang Xie
Wengang Zhou
Haoyang Li
120
6
0
19 Dec 2024
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
Xiwei Liu
Mohamad Kassab
Min Xu
Qirong Ho
351
0
0
22 Nov 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Xingrui Yu
Zhenglin Wan
David Mark Bossens
Yueming Lyu
Qing Guo
Ivor W. Tsang
306
0
0
11 Nov 2024
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
77
1
0
11 Nov 2024
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction
Yanshuo Chen
Zhengmian Hu
Wei Chen
Heng Huang
OT
69
2
0
01 Nov 2024
Reward-free World Models for Online Imitation Learning
Shangzhe Li
Zhiao Huang
H. Su
OffRL
102
1
0
17 Oct 2024
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control
Haoran Wang
Yaoru Sun
Zeshen Tang
Haibo Shi
Chenyuan Jiao
59
0
0
12 Oct 2024
Deep Generative Quantile Bayes
Jungeum Kim
Percy S. Zhai
Veronika Rockova
74
0
0
10 Oct 2024
Partial Distribution Matching via Partial Wasserstein Adversarial Networks
Zi-Ming Wang
Nan Xue
Ling Lei
Rebecka Jörnsten
Gui-Song Xia
OOD
71
0
0
16 Sep 2024
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
Huiguo He
Huan Yang
Zixi Tuo
Yuan Zhou
Qiuyue Wang
Yuhang Zhang
Zeyu Liu
Wenhao Huang
Hongyang Chao
Jian Yin
DiffM
VGen
88
14
0
17 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Mang Ning
A. A. Salah
Itir Onal Ertugrul
CVBM
95
4
0
15 Jul 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao
Hao Ni
Weixin Yang
GAN
78
0
0
27 May 2024
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases
Sophie Starck
Vasiliki Sideri-Lampretsa
Bernhard Kainz
Martin J. Menten
Tamara T. Mueller
Daniel Rueckert
MedIm
70
2
0
25 Mar 2024
Adaptive LPD Radar Waveform Design with Generative Deep Learning
Matthew R. Ziemann
Christopher A. Metzler
44
0
0
18 Mar 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Junqiao Zhao
Junqiao Zhao
Pheng-Ann Heng
OffRL
61
8
0
04 Feb 2024
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Jie Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
TTA
76
1
0
15 Jan 2024
Style transfer between Microscopy and Magnetic Resonance Imaging via Generative Adversarial Network in small sample size settings
M. Pytlarz
Adrian Onicas
A. Crimi
GAN
MedIm
43
1
0
16 Oct 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Jing Liu
99
31
0
27 Aug 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Santanu Ganguly
GAN
55
2
0
15 Aug 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Mete Kemertas
Allan D. Jepson
Amir-massoud Farahmand
OT
62
3
0
17 Jul 2023
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
Bowen Hu
Baiying Lei
Sibo Qiao
Hieu Pham
Shuqiang Wang
Michael Kwok-Po Ng
3DPC
3DV
67
0
0
22 May 2023
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
92
2
0
22 May 2023
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
Soroosh Shafieezadeh-Abadeh
Liviu Aolaritei
Florian Dorfler
Daniel Kuhn
84
21
0
07 Mar 2023
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
46
48
0
09 Mar 2022
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yi Ding
Shiyu Chang
Zhangyang Wang
ViT
51
389
0
14 Feb 2021
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Zhuangzhuang Zhang
T. Zhao
Hiram Gay
Weixiong Zhang
B. Sun
MedIm
36
29
0
11 Aug 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCV
BDL
78
443
0
17 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks
Chi-Hieu Pham
Saïd Ladjal
A. Newson
DRL
45
31
0
14 Jun 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning
Xinjian Luo
Xiangqi Zhu
FedML
101
25
0
27 Apr 2020
Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks
Jiangke Lin
Yi Yuan
Tianjia Shao
Kun Zhou
3DH
3DV
36
103
0
12 Mar 2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks
Siqi Liu
A. Setio
Florin-Cristian Ghesu
Eli Gibson
Sasa Grbic
Bogdan Georgescu
Dorin Comaniciu
AAML
OOD
56
40
0
08 Mar 2020
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Ricard Durall
Margret Keuper
J. Keuper
37
333
0
03 Mar 2020
Towards Learning Structure via Consensus for Face Segmentation and Parsing
I. Masi
Joe Mathai
Wael AbdAlmageed
CVBM
33
16
0
03 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Qiyang Li
Saminul Haque
Cem Anil
James Lucas
Roger C. Grosse
Joern-Henrik Jacobsen
47
115
0
03 Nov 2019
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