Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

11 October 2023

Papers citing "Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes"

10 / 10 papers shown

Title
Riemannian Denoising Diffusion Probabilistic Models Z. Liu Wei Zhang Christof Schütte Tiejun Li DiffM 60 0 0 07 May 2025
Riemannian Neural Geodesic Interpolant Jiawen Wu Bingguang Chen Yuyi Zhou Qi Meng Rongchan Zhu Zhi-Ming Ma 19 0 0 22 Apr 2025
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices Thibault de Surrel Fabien Lotte Sylvain Chevallier Florian Yger 60 0 0 03 Feb 2025
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu Tianrong Chen Lingkai Kong Evangelos A. Theodorou Molei Tao DiffM 35 3 0 25 May 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold Kacper Kapusniak Peter Potaptchik Teodora Reu Leo Zhang Alexander Tong Michael M. Bronstein A. Bose Francesco Di Giovanni 28 11 0 23 May 2024
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 11 19 0 07 Feb 2023
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion Julen Urain Niklas Funk Jan Peters Georgia Chalvatzaki DiffM 45 118 0 08 Sep 2022
Matching Normalizing Flows and Probability Paths on Manifolds Heli Ben-Hamu Samuel N. Cohen Joey Bose Brandon Amos Aditya Grover Maximilian Nickel Ricky T. Q. Chen Y. Lipman 50 39 0 11 Jul 2022
Riemannian Score-Based Generative Modelling Valentin De Bortoli Emile Mathieu M. Hutchinson James Thornton Yee Whye Teh Arnaud Doucet DiffM 209 163 0 06 Feb 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 165 160 0 21 Oct 2021