AutoDiffusion: Training-Free Optimization of Time Steps and
Architectures for Automated Diffusion Model Acceleration

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration

19 September 2023

Min Zheng

Papers citing "AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration"

5 / 5 papers shown

Title
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen Gourav Datta Mujahid Al Rafi Hyeran Jeon Meng Tang 63 1 0 06 Jun 2024
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 179 921 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 288 1,153 0 10 Nov 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 151 186 0 07 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 265 9,997 0 01 Sep 2014