Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution

4 April 2022

Papers citing "Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution"

22 / 22 papers shown

Title
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning Manh Luong Khai Nguyen Dinh Q. Phung Gholamreza Haffari Lizhen Qu 47 0 0 08 Feb 2025
Relative-Translation Invariant Wasserstein Distance Binshuai Wang Qiwei Di Ming Yin Mengdi Wang Quanquan Gu Peng Wei 27 0 0 04 Sep 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 42 3 0 23 Apr 2024
Sliced Wasserstein with Random-Path Projecting Directions Khai Nguyen Shujian Zhang Tam Le Nhat Ho 34 9 0 29 Jan 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance Robert C. Garrett Trevor Harris Bo Li Zhuo Wang AI4Cl 12 3 0 26 Jan 2024
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel Paul Hagemann J. Hertrich Fabian Altekrüger Robert Beinert Jannis Chemseddine Gabriele Steidl 19 24 0 04 Oct 2023
Partial Transport for Point-Cloud Registration Yikun Bai Huy Tran S. Damelin Soheil Kolouri 3DPC OT 32 1 0 27 Sep 2023
$PT$\mathrm{L}^{p}$: Partial Transport $\mathrm{L}^{p}$ Distances$ PT $\mathrm{L}^{p}$ : Partial Transport $\mathrm{L}^{p}$ Distances Xinran Liu Yikun Bai Huy Tran Zhanqi Zhu Matthew Thorpe Soheil Kolouri OT 13 1 0 25 Jul 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 17 31 0 28 Jun 2023
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 28 23 0 19 May 2023
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows Chao Du Tianbo Li Tianyu Pang Shuicheng Yan Min-Bin Lin DiffM BDL 40 12 0 03 May 2023
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 23 21 0 26 Apr 2023
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer Yuhta Takida Masaaki Imaizumi Takashi Shibuya Chieh-Hsin Lai Toshimitsu Uesaka Naoki Murata Yuki Mitsufuji GAN 18 11 0 30 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 18 9 0 12 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections Khai Nguyen Tongzheng Ren Nhat Ho 16 7 0 10 Jan 2023
Fast Approximation of the Generalized Sliced-Wasserstein Distance Dung D. Le Huy Nguyen Khai Nguyen Trang Nguyen Nhat Ho 18 1 0 19 Oct 2022
Improving Generative Flow Networks with Path Regularization A. Do Duy-Tung Dinh T. Nguyen Khuong N. Nguyen Stanley Osher Nhat Ho AI4CE 23 4 0 29 Sep 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 28 19 0 27 Sep 2022
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training Florentin Coeurdoux N. Dobigeon P. Chainais TPM 9 6 0 12 Jul 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 27 27 0 17 Jun 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 39 13 0 30 May 2022
On Transportation of Mini-batches: A Hierarchical Approach Khai Nguyen Dang Nguyen Quoc Nguyen Tung Pham Hung Bui Dinh Q. Phung Trung Le Nhat Ho OT 13 18 0 11 Feb 2021