Accelerating Diffusion Sampling with Classifier-based Feature
Distillation

Accelerating Diffusion Sampling with Classifier-based Feature Distillation

22 November 2022

Papers citing "Accelerating Diffusion Sampling with Classifier-based Feature Distillation"

15 / 15 papers shown

Title
Image Recognition with Online Lightweight Vision Transformer: A Survey Zherui Zhang Rongtao Xu Jie Zhou Changwei Wang Xingtian Pei ... Jiguang Zhang Li Guo Longxiang Gao W. Xu Shibiao Xu ViT 98 0 0 06 May 2025
Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence Zhaowei Chen Borui Zhao Yuchen Ge Yuhao Chen Renjie Song Jiajun Liang 44 0 0 09 Mar 2025
Accelerating Diffusion Models with One-to-Many Knowledge Distillation Linfeng Zhang Kaisheng Ma VLM 26 2 0 05 Oct 2024
Simple and Fast Distillation of Diffusion Models Zhenyu Zhou Defang Chen Can Wang Chun Chen Siwei Lyu DiffM 35 5 0 29 Sep 2024
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation Shengyuan Zhang Ling Yang Z. Li An Zhao Chenye Meng Changyuan Yang Guang Yang Zhiyuan Yang Lingyun Sun 32 0 0 28 Aug 2024
Knowledge Distillation with Refined Logits Wujie Sun Defang Chen Siwei Lyu Genlang Chen Chun-Yen Chen Can Wang 22 1 0 14 Aug 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 19 2 0 30 Jun 2024
Towards a mathematical theory for consistency training in diffusion models Gen Li Zhihan Huang Yuting Wei 61 16 0 12 Feb 2024
Knowledge Translation: A New Pathway for Model Compression Wujie Sun Defang Chen Jiawei Chen Yan Feng Chun-Yen Chen Can Wang 23 0 0 11 Jan 2024
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 52 0 07 Jun 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling Shitong Shao Xu Dai Shouyi Yin Lujun Li Huanran Chen Yang Hu 20 17 0 18 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 36 33 0 09 Apr 2023
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 205 0 06 Sep 2022
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 259 0 07 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,356 0 25 Aug 2016