Understanding and Improving Training-free Loss-based Diffusion Guidance

Understanding and Improving Training-free Loss-based Diffusion Guidance

19 March 2024

Yifan Yang

Dongqi Han

Dongsheng Li

Papers citing "Understanding and Improving Training-free Loss-based Diffusion Guidance"

10 / 10 papers shown

Title
RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning Xi Ye Rui Heng Yang Jun Jin Y. K. Li Amir Rasouli 53 0 0 06 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Y. Li Zhitang Chen Farzan Farnia DiffM 70 1 0 15 Feb 2025
Dynamic Negative Guidance of Diffusion Models Felix Koulischer Johannes Deleu G. Raya T. Demeester L. Ambrogioni DiffM 49 2 0 03 Jan 2025
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling Xin Xie Dong Gong 82 1 0 01 Dec 2024
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation Thomas J. Kerby Kevin R. Moon 27 2 0 11 Sep 2024
Manifold Preserving Guided Diffusion Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 116 64 0 28 Nov 2023
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 199 724 0 29 Sep 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 629 0 20 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 218 1,355 0 24 Jan 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016