TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

7 March 2023

Papers citing "TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation"

50 / 66 papers shown

Title
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 145 0 0 28 Apr 2025
Fast Autoregressive Models for Continuous Latent Generation Tiankai Hang Jianmin Bao Fangyun Wei Dong Chen DiffM 77 0 0 24 Apr 2025
Autoregressive Distillation of Diffusion Transformers Yeongmin Kim Sotiris Anagnostidis Yuming Du Edgar Schönfeld Jonas Kohler Markos Georgopoulos Albert Pumarola Ali K. Thabet A. Sanakoyeu 28 0 0 15 Apr 2025
AccVideo: Accelerating Video Diffusion Model with Synthetic Dataset Haiyu Zhang Xinyuan Chen Yaohui Wang Xihui Liu Yunhong Wang Yu Qiao VGen 67 0 0 25 Mar 2025
Bezier Distillation Ling Feng SK Yang 44 0 0 20 Mar 2025
Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening Zihan Cao Yu Zhong Liang-Jian Deng OT 49 0 0 19 Mar 2025
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation Yuxiang Fu Qi Yan Lele Wang Ke Li Renjie Liao AI4TS 44 1 0 13 Mar 2025
TraFlow: Trajectory Distillation on Pre-Trained Rectified Flow Zhangkai Wu Xuhui Fan Hongyu Wu Longbing Cao 44 0 0 24 Feb 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 62 3 0 03 Feb 2025
PQD: Post-training Quantization for Efficient Diffusion Models Jiaojiao Ye Zhen Wang Linnan Jiang MQ 28 0 0 03 Jan 2025
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models Yuang Wang Pengfei Jin L. Zhang Quanzheng Li Zhiqiang Chen Dufan Wu DiffM 23 0 0 31 Dec 2024
Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples Noël Vouitsis Rasa Hosseinzadeh Brendan Leigh Ross Valentin Villecroze S. Gorti Jesse C. Cresswell G. Loaiza-Ganem DiffM 48 0 0 13 Nov 2024
Constant Acceleration Flow Dogyun Park Sojin Lee S. Kim Taehoon Lee Youngjoon Hong Hyunwoo J. Kim 57 2 0 01 Nov 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization Haowei Zhu Dehua Tang Ji Liu Mingjie Lu Jintu Zheng ... Spandan Tiwari Ashish Sirasao Jun-Hai Yong Bin Wang E. Barsoum DiffM 32 5 0 22 Oct 2024
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step Mingyuan Zhou Huangjie Zheng Yi Gu Zhendong Wang Hai Huang DiffM 52 4 0 19 Oct 2024
Truncated Consistency Models Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 57 3 0 18 Oct 2024
One Step Diffusion via Shortcut Models Kevin Frans Danijar Hafner Sergey Levine Pieter Abbeel VLM DiffM 33 22 0 16 Oct 2024
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning Risheek Garrepalli Shweta Mahajan Munawar Hayat Fatih Porikli DiffM 31 0 0 15 Oct 2024
Simple and Fast Distillation of Diffusion Models Zhenyu Zhou Defang Chen Can Wang Chun Chen Siwei Lyu DiffM 43 5 0 29 Sep 2024
Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang Yuchuan Tian Lei Yu Huao Tang Jie Hu Xiangzhong Fang Hanting Chen DiffM 34 0 0 26 Sep 2024
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow Yuanzhi Zhu Xingchao Liu Qiang Liu 46 9 0 17 Jul 2024
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis Haeil Lee Han S. Lee Seoyeon Gye Junmo Kim DiffM 49 2 0 16 Jul 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 34 3 0 30 Jun 2024
Consistency Models Made Easy Zhengyang Geng Ashwini Pokle William Luo Justin Lin J. Zico Kolter 43 24 0 20 Jun 2024
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis Zhijun Liu Shuai Wang Sho Inoue Qibing Bai Haizhou Li DiffM 47 15 0 08 Jun 2024
Multistep Distillation of Diffusion Models via Moment Matching Tim Salimans Thomas Mensink Jonathan Heek Emiel Hoogeboom DiffM 38 23 0 06 Jun 2024
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models Jingjing Wang Dan Zhang Feng Luo DiffM 31 0 0 31 May 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 41 19 0 30 May 2024
EM Distillation for One-step Diffusion Models Sirui Xie Zhisheng Xiao Diederik P. Kingma Tingbo Hou Ying Nian Wu Kevin Patrick Murphy Tim Salimans Ben Poole Ruiqi Gao VLM DiffM 42 24 0 27 May 2024
Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin Michael Gharbi Taesung Park Richard Zhang Eli Shechtman Frédo Durand William T. Freeman DiffM 44 95 0 23 May 2024
Directly Denoising Diffusion Models Dan Zhang Jingjing Wang Feng Luo DiffM 38 2 0 22 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 42 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 46 37 0 09 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 37 39 0 29 Apr 2024
Accelerating Image Generation with Sub-path Linear Approximation Model Chen Xu Tian-Shu Song Weixin Feng Xubin Li Tiezheng Ge Bo Zheng Limin Wang 42 11 0 22 Apr 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou Huangjie Zheng Zhendong Wang Mingzhang Yin Hai Huang DiffM 49 50 0 05 Apr 2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better En-hao Liu Junyi Zhu Zinan Lin Xuefei Ning Shuaiqi Wang ... Sergey Yekhanin Guohao Dai Huazhong Yang Yu-Xiang Wang Yu Wang MoMe 57 4 0 02 Apr 2024
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs Yihong Luo Xiaolong Chen Xinghua Qu Jing Tang 61 6 0 19 Mar 2024
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation Axel Sauer Frederic Boesel Tim Dockhorn A. Blattmann Patrick Esser Robin Rombach DiffM 46 107 0 18 Mar 2024
Multistep Consistency Models Jonathan Heek Emiel Hoogeboom Tim Salimans 36 34 0 11 Mar 2024
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models Nikita Starodubcev Artem Fedorov Artem Babenko Dmitry Baranchuk DiffM 45 3 0 17 Dec 2023
Fast Sampling Through The Reuse Of Attention Maps In Diffusion Models Rosco Hunter L. Dudziak Mohamed S. Abdelfattah Abhinav Mehrotra Sourav Bhattacharya Hongkai Wen 23 1 0 13 Dec 2023
Clockwork Diffusion: Efficient Generation With Model-Step Distillation A. Habibian Amir Ghodrati Noor Fathima Guillaume Sautière Risheek Garrepalli Fatih Porikli Jens Petersen 17 7 0 13 Dec 2023
One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng Ashwini Pokle Trevor Killeen 31 28 0 12 Dec 2023
One-step Diffusion with Distribution Matching Distillation Tianwei Yin Michael Gharbi Richard Zhang Eli Shechtman Frédo Durand William T. Freeman Taesung Park DiffM 124 219 0 30 Nov 2023
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps Zhenyu Zhou Defang Chen Can Wang Chun-Yen Chen DiffM 29 43 0 30 Nov 2023
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation Yifan Zhang Bryan Hooi VLM 34 9 0 30 Nov 2023
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang Ahmed A. A. Elhag Navdeep Jaitly J. Susskind Miguel Angel Bautista DiffM 27 20 0 27 Nov 2023
Continual Learning of Diffusion Models with Generative Distillation Sergi Masip Pau Rodriguez Tinne Tuytelaars Gido M. van de Ven VLM DiffM 36 7 0 23 Nov 2023
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs Yanwu Xu Yang Zhao Zhisheng Xiao Tingbo Hou 134 107 0 14 Nov 2023