Banach Wasserstein GAN

18 June 2018

Papers citing "Banach Wasserstein GAN"

25 / 25 papers shown

Title
Style-Adaptive Detection Transformer for Single-Source Domain Generalized Object Detection Jianhong Han Yupei Wang Liang Chen ViT 42 0 0 29 Apr 2025
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud Mengxi Wu Hao Huang Yi Fang Mohammad Rostami 34 0 0 03 Oct 2024
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo Trung Le L. Vuong He Zhao Edwin V. Bonilla Dinh Q. Phung OT 34 4 0 25 May 2023
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives Yahong Yang Haizhao Yang Yang Xiang 36 19 0 15 May 2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models Hongyi Yuan Songchi Zhou Sheng Yu DiffM MedIm 37 16 0 10 Mar 2023
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou Jun Huang AAML FedML 34 0 0 05 Dec 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization Yihang Gao Huafeng Liu Michael K. Ng Mingjie Zhou 25 2 0 23 May 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 26 38 0 10 Apr 2022
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 25 21 0 24 Feb 2021
Wasserstein Proximal of GANs A. Lin Wuchen Li Stanley Osher Guido Montúfar GAN 27 46 0 13 Feb 2021
Robust W-GAN-Based Estimation Under Wasserstein Contamination Zheng Liu Po-Ling Loh 15 6 0 20 Jan 2021
Towards Generalized Implementation of Wasserstein Distance in GANs Minkai Xu Zhiming Zhou Guansong Lu Jian Tang Weinan Zhang Yong Yu 21 1 0 07 Dec 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 27 25 0 19 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 287 0 30 Apr 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 35 821 0 20 Jan 2020
Orthogonal Wasserstein GANs J. Müller Reinhard Klein Michael Weinmann 50 9 0 29 Nov 2019
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 43 64 0 15 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 30 25 0 09 Oct 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 30 125 0 10 Apr 2019
Lipschitz Generative Adversarial Nets Zhiming Zhou Jiadong Liang Yuxuan Song Lantao Yu Hongwei Wang Weinan Zhang Yong Yu Zhihua Zhang GAN 25 78 0 15 Feb 2019
Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks Patricia Vitoria Joan Sintes C. Ballester GAN 25 29 0 03 Dec 2018
A Wasserstein GAN model with the total variational regularization Lijun Zhang Yujin Zhang Yongbin Gao GAN 8 3 0 03 Dec 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 14 30 0 01 Jun 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training Duhyeon Bang Hyunjung Shim GAN 30 77 0 12 Apr 2018
A unified framework for hard and soft clustering with regularized optimal transport Jean-Frédéric Diebold Nicolas Papadakis Arnaud Dessein Charles-Alban Deledalle FedML 52 9 0 12 Nov 2017