BOOT: Data-free Distillation of Denoising Diffusion Models with
Bootstrapping

BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping

8 June 2023

Papers citing "BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping"

14 / 14 papers shown

Title
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 235 0 0 28 Apr 2025
Fast Autoregressive Models for Continuous Latent Generation Tiankai Hang Jianmin Bao Fangyun Wei Dong Chen DiffM 80 0 0 24 Apr 2025
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation Quan Dao Hao Phung T. Dao Dimitris Metaxas Anh Tran 103 1 0 22 Dec 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang Miao Zhang Yuzhang Shang Jianlong Wu Yan Yan Liqiang Nie DiffM 66 10 0 05 Sep 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 53 20 0 30 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 49 41 0 13 May 2024
Distilling Diffusion Models into Conditional GANs Minguk Kang Richard Zhang Connelly Barnes Sylvain Paris Suha Kwak Jaesik Park Eli Shechtman Jun-Yan Zhu Taesung Park 48 37 0 09 May 2024
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping Jianbin Zheng Minghui Hu Zhongyi Fan Chaoyue Wang Changxing Ding Dacheng Tao Tat-Jen Cham 48 27 0 29 Feb 2024
Fast Sampling Through The Reuse Of Attention Maps In Diffusion Models Rosco Hunter Łukasz Dudziak Mohamed S. Abdelfattah Abhinav Mehrotra Sourav Bhattacharya Hongkai Wen 25 1 0 13 Dec 2023
Continual Learning of Diffusion Models with Generative Distillation Sergi Masip Pau Rodriguez Tinne Tuytelaars Gido M. van de Ven VLM DiffM 48 8 0 23 Nov 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 224 506 0 03 May 2023
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation Jiatao Gu Shuangfei Zhai Yizhe Zhang Miguel Angel Bautista J. Susskind DiffM 58 26 0 10 Oct 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 781 0 27 May 2022
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 195 262 0 07 Jan 2021