Faster Diffusion via Temporal Attention Decomposition

Faster Diffusion via Temporal Attention Decomposition

3 April 2024

Francesco Faccio

Mike Zheng Shou

Juan-Manuel Perez-Rua

Jürgen Schmidhuber

Papers citing "Faster Diffusion via Temporal Attention Decomposition"

19 / 19 papers shown

Title
Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention into Convolutions Ziyi Dong Chengxing Zhou Weijian Deng Pengxu Wei Xiangyang Ji Liang Lin MQ 41 0 0 30 Apr 2025
STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning Giorgio Strano Chiara Ballanti Donato Crisostomi Michele Mancusi Luca Cosmo Emanuele Rodolà 19 0 0 08 Apr 2025
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable Xin Jin Simon Niklaus Zhoutong Zhang Zhihao Xia Chunle Guo Yuting Yang J. Chen Chongyi Li VGen 38 0 0 04 Apr 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning Hang Guo Yawei Li Taolin Zhang J. Wang Tao Dai Shu-Tao Xia Luca Benini 58 1 0 30 Mar 2025
EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing Zexuan Yan Yue Ma Chang Zou Wenteng Chen Qifeng Chen Linfeng Zhang 53 0 0 13 Mar 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute Sotiris Anagnostidis Gregor Bachmann Yeongmin Kim Jonas Kohler Markos Georgopoulos A. Sanakoyeu Yuming Du Albert Pumarola Ali K. Thabet Edgar Schönfeld 76 0 0 27 Feb 2025
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models Xinle Cheng Zhuoming Chen Zhihao Jia DiffM VLM 36 1 0 01 Feb 2025
Accelerate High-Quality Diffusion Models with Inner Loop Feedback M. Gwilliam Han Cai Di Wu Abhinav Shrivastava Zhiyu Cheng 90 0 0 22 Jan 2025
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models Tianwei Yin Qiang Zhang Richard Zhang William T. Freeman F. Durand Eli Shechtman Xun Huang VGen DiffM 79 11 0 10 Dec 2024
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution Qinwei Lin Xiaopeng Sun Yu Gao Yujie Zhong Dengjie Li Zheng Zhao Haoqian Wang 69 0 0 04 Dec 2024
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers Joseph Liu Joshua Geddes Ziyu Guo Haomiao Jiang Mahesh Kumar Nandwana 44 0 0 15 Nov 2024
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration Pratheba Selvaraju Tianyu Ding Tianyi Chen Ilya Zharkov Luming Liang 29 20 0 01 Jul 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising Zigeng Chen Xinyin Ma Gongfan Fang Zhenxiong Tan Xinchao Wang 39 7 0 11 Jun 2024
$Δ$ -DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers Pengtao Chen Mingzhu Shen Peng Ye Jianjian Cao Chongjun Tu C. Bouganis Yiren Zhao Tao Chen 50 26 0 03 Jun 2024
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model Mingyang Yi Aoxue Li Yi Xin Zhenguo Li DiffM 29 11 0 24 May 2024
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable Haozhe Liu Wentian Zhang Bing Li Bernard Ghanem Jürgen Schmidhuber DiffM WIGM AAML 21 1 0 01 May 2024
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 150 985 0 25 Nov 2023
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015