On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models

6 February 2024

Papers citing "On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models"

8 / 8 papers shown

Title
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models Shinnosuke Saito Takashi Matsubara DiffM 82 1 0 28 Apr 2025
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell G. Loaiza-Ganem 40 6 0 31 Oct 2024
Losing dimensions: Geometric memorization in generative diffusion Beatrice Achilli Enrico Ventura Gianluigi Silvestri Bao Pham G. Raya Dmitry Krotov Carlo Lucibello L. Ambrogioni 40 4 0 11 Oct 2024
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion Enrico Ventura Beatrice Achilli Gianluigi Silvestri Carlo Lucibello L. Ambrogioni DiffM 30 5 0 08 Oct 2024
Classification-Denoising Networks Louis Thiry Florentin Guth 29 0 0 04 Oct 2024
A Wiener process perspective on local intrinsic dimension estimation methods Piotr Tempczyk Łukasz Garncarek Dominik Filipiak Adam Kurpisz 31 1 0 24 Jun 2024
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari Brendan Leigh Ross Rasa Hosseinzadeh Jesse C. Cresswell G. Loaiza-Ganem DiffM 32 11 0 05 Jun 2024
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022