Sliced Wasserstein Generative Models

10 April 2019

Luc Van Gool

Papers citing "Sliced Wasserstein Generative Models"

24 / 24 papers shown

Title
Learning with Differentially Private (Sliced) Wasserstein Gradients Clément Lalanne Jean-Michel Loubes David Rodríguez-Vítores FedML 46 0 0 03 Feb 2025
A Survey on Algorithmic Developments in Optimal Transport Problem with Applications Sina Moradi OT 54 0 0 08 Jan 2025
Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework Zhilin Du Haozhen Li Zhenyu Liu Shilong Fan Xinyu Gu Lin Zhang DiffM 13 1 0 10 Dec 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Haorui Li Jiaqi Liang Linjing Li D. Zeng 11 0 0 02 Aug 2023
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun A. Schwing GAN 25 16 0 27 Nov 2022
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction Chaoyue Song Jiacheng Wei Ruibo Li Fayao Liu Guosheng Lin 3DPC 16 21 0 18 Nov 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances Sloan Nietert Ritwik Sadhu Ziv Goldfeld Kengo Kato 38 37 0 17 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 33 20 0 27 Sep 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 41 13 0 30 May 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 30 25 0 04 Apr 2022
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations Zhilu Zhang Ruohao Wang Hongzhi Zhang Yunjin Chen W. Zuo MDE SupR 22 21 0 02 Mar 2022
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks M. Dai Haibin Hang A. Srivastava 18 3 0 08 Sep 2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections Kimia Nadjahi Alain Durmus Pierre E. Jacob Roland Badeau Umut Simsekli 23 37 0 29 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 32 12 0 22 Jun 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 74 54 0 05 Jan 2021
Projected Distribution Loss for Image Enhancement M. Delbracio Hossein Talebi P. Milanfar SupR 18 35 0 16 Dec 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample Shir Gur Sagie Benaim Lior Wolf VGen GAN DRL 25 69 0 22 Jun 2020
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training Yunxuan Wei Shuhang Gu Yawei Li Longcun Jin 23 123 0 02 Apr 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 26 81 0 12 Mar 2020
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network Hyeonseong Jeon Youngoh Bang Simon S. Woo 16 54 0 05 Jan 2020
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 30 214 0 18 Nov 2019
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement Zhiwu Huang D. Paudel Guanju Li Jiqing Wu Radu Timofte Luc Van Gool 19 4 0 23 Oct 2019
Illegible Text to Readable Text: An Image-to-Image Transformation using Conditional Sliced Wasserstein Adversarial Networks Mostafa Karimi Gopalkrishna Veni Yen-Yun Yu GAN 17 5 0 11 Oct 2019
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 35 120 0 21 Jun 2018