AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of
Diffusion Probabilistic Models

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models

20 July 2023

Vincent Y. F. Tan

Papers citing "AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models"

6 / 6 papers shown

Title
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang H. Li Lijun Yang Wen Yao Yue Deng DiffM 38 0 0 12 May 2025
A Reversible Solver for Diffusion SDEs Zander Blasingame Chen Liu DiffM 54 0 0 12 Feb 2025
AdjointDEIS: Efficient Gradients for Diffusion Models Zander Blasingame Chen Liu DiffM 37 2 0 23 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan Xingchao Liu Jiachun Pan Jun Hao Liew Qiang Liu Jiashi Feng 40 40 0 13 May 2024
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 124 70 0 23 Mar 2023
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 124 183 0 03 Oct 2022