Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models

3 January 2025

Papers citing "Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models"

19 / 19 papers shown

Title
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models Yang Zheng Wen Li Zhaoqiang Liu 19 0 0 27 May 2025
Sample Complexity of Diffusion Model Training Without Empirical Risk Minimizer Access Mudit Gaur Prashant Trivedi Sasidhar Kunapuli Amrit Singh Bedi Vaneet Aggarwal 16 0 0 23 May 2025
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution Gen Li Yuchen Jiao 54 1 0 02 May 2025
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 44 1 0 07 Apr 2025
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference Changwoo Lee Soo Min Kwon Qing Qu Hun-Seok Kim 38 0 0 28 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 45 0 0 16 Oct 2024
Shallow diffusion networks provably learn hidden low-dimensional structure Nicholas M. Boffi Arthur Jacot Stephen Tu Ingvar M. Ziemann DiffM 53 2 0 15 Oct 2024
Linear Convergence of Diffusion Models Under the Manifold Hypothesis Peter Potaptchik Iskander Azangulov George Deligiannidis DiffM 56 5 0 11 Oct 2024
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation Rong Tang Lizhen Lin Yun Yang DiffM 38 1 0 30 Sep 2024
A Score-Based Density Formula, with Applications in Diffusion Generative Models Gen Li Yuling Yan DiffM 67 0 0 29 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 65 24 0 05 Aug 2024
Convergence of the denoising diffusion probabilistic models for general noise schedules Yumiharu Nakano DiffM 67 0 0 03 Jun 2024
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 64 107 0 07 Aug 2023
Convergence of denoising diffusion models under the manifold hypothesis Valentin De Bortoli DiffM 39 161 0 10 Aug 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 247 6,768 0 13 Apr 2022
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 215 264 0 18 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 89 3,599 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 211 6,293 0 26 Nov 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 106 3,803 0 12 Jul 2019