Fast Sampling of Diffusion Models via Operator Learning

24 November 2022

Hongkai Zheng

Weili Nie

Arash Vahdat

Kamyar Azizzadenesheli

Anima Anandkumar

DiffM

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Papers citing "Fast Sampling of Diffusion Models via Operator Learning"

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Title
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities Pramook Khungurn Pratch Piyawongwisal Sira Sriswadi Supasorn Suwajanakorn 25 0 0 02 May 2025
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 74 0 0 28 Apr 2025
Fast Autoregressive Models for Continuous Latent Generation Tiankai Hang Jianmin Bao Fangyun Wei Dong Chen DiffM 70 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 26 0 0 15 Apr 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 41 1 0 13 Mar 2025
LBM: Latent Bridge Matching for Fast Image-to-Image Translation Clement Chadebec O. Tasar Sanjeev Sreetharan Benjamin Aubin 37 0 0 10 Mar 2025
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories Huiyang Shao Xin Xia Y. Yang Yuxi Ren Xing Wang Xuefeng Xiao 56 1 0 10 Mar 2025
CacheQuant: Comprehensively Accelerated Diffusion Models Xuewen Liu Zhikai Li Qingyi Gu DiffM 35 0 0 03 Mar 2025
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models Jaehoon Heo Adiwena Putra Jieon Yoon Sungwoong Yune Hangyeol Lee Ji-Hoon Kim Joo-Young Kim DiffM 55 1 0 10 Jan 2025
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement H. Kim Jaejun Yoo 44 0 0 23 Dec 2024
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance Viet-Anh Nguyen A. Nguyen T. Dao K. Nguyen Cuong Pham Toan M. Tran Anh Tran DiffM 70 0 0 03 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 79 1 0 25 Nov 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 43 0 0 13 Nov 2024
Physics Informed Distillation for Diffusion Models Joshua Tian Jin Tee Kang Zhang Hee Suk Yoon Dhananjaya N. Gowda Chanwoo Kim Chang-Dong Yoo DiffM 49 3 0 13 Nov 2024
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models Shuhong Zheng Zhipeng Bao Ruoyu Zhao Martial Hebert Yu-xiong Wang DiffM 35 0 0 07 Nov 2024
Constant Acceleration Flow Dogyun Park Sojin Lee S. Kim Taehoon Lee Youngjoon Hong Hyunwoo J. Kim 50 2 0 01 Nov 2024
Denoising Diffusion Models for Anomaly Localization in Medical Images Cosmin I. Bercea P. Cattin Julia A. Schnabel J. Wolleb DiffM MedIm 31 0 0 31 Oct 2024
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation Zhendong Wang Z. Li Ajay Mandlekar Zhenjia Xu Jiaojiao Fan ... Yuke Zhu Yogesh Balaji Mingyuan Zhou Ming-Yu Liu Yu Zeng 27 16 0 28 Oct 2024
Flow Generator Matching Zemin Huang Zhengyang Geng Weijian Luo Guo-jun Qi 33 8 0 25 Oct 2024
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution Nanshan Jia Tingyu Zhu Haoyu Liu Zeyu Zheng DiffM 18 2 0 24 Oct 2024
One-Step Diffusion Distillation through Score Implicit Matching Weijian Luo Zemin Huang Zhengyang Geng J. Zico Kolter Guo-jun Qi DiffM 24 14 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 44 4 0 19 Oct 2024
Truncated Consistency Models Sangyun Lee Yilun Xu Tomas Geffner Giulia Fanti Karsten Kreis Arash Vahdat Weili Nie 46 3 0 18 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 56 0 0 11 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
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow Yuanzhi Zhu Xingchao Liu Qiang Liu 41 9 0 17 Jul 2024
Base Models for Parabolic Partial Differential Equations Xingzi Xu Ali Hasan Jie Ding Vahid Tarokh 25 1 0 17 Jul 2024
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency Ling Yang Zixiang Zhang Zhilong Zhang Xingchao Liu Minkai Xu Wentao Zhang Chenlin Meng Stefano Ermon Bin Cui 44 18 0 02 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 19 2 0 30 Jun 2024
Consistency Models Made Easy Zhengyang Geng Ashwini Pokle William Luo Justin Lin J. Zico Kolter 30 25 0 20 Jun 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation Zhiyuan Ma Liangliang Zhao Biqing Qi Bowen Zhou DiffM 56 2 0 19 Jun 2024
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies Haojie Huang Karl Schmeckpeper Dian Wang Ondrej Biza Yaoyao Qian Haotian Liu Mingxi Jia Robert Platt Robin Walters VGen LM&Ro 26 6 0 17 Jun 2024
Flow Map Matching Nicholas M. Boffi M. S. Albergo Eric Vanden-Eijnden 27 4 0 11 Jun 2024
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis Zhijun Liu Shuai Wang Sho Inoue Qibing Bai Haizhou Li DiffM 34 15 0 08 Jun 2024
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation Clement Chadebec O. Tasar Eyal Benaroche Benjamin Aubin VLM 60 8 0 04 Jun 2024
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems Karn Tiwari N. M. A. Krishnan P. PrathoshA 18 0 0 01 Jun 2024
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models Jingjing Wang Dan Zhang Feng Luo DiffM 19 0 0 31 May 2024
Diffusion Models Are Innate One-Step Generators Bowen Zheng Tianming Yang DiffM VLM 16 11 0 31 May 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 34 19 0 30 May 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback Jiachen Li Weixi Feng Tsu-jui Fu Xinyi Wang Sugato Basu Wenhu Chen William Yang Wang VGen 29 27 0 29 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 37 24 0 27 May 2024
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows Shuhao Cao Francesco Brarda Ruipeng Li Yuanzhe Xi 31 1 0 27 May 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 38 15 0 24 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 34 94 0 23 May 2024
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation Hongxu Jiang Muhammad Imran Linhai Ma Teng Zhang Yuyin Zhou Muxua Liang Kuang Gong Wei Shao DiffM MedIm 47 13 0 23 May 2024
Directly Denoising Diffusion Models Dan Zhang Jingjing Wang Feng Luo DiffM 18 2 0 22 May 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling Defang Chen Zhenyu Zhou Can Wang Chunhua Shen Siwei Lyu 32 14 0 18 May 2024
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging Zhuchen Shao M. Anastasio Hua Li DiffM MedIm 17 1 0 10 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 33 36 0 09 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond Zheng Zhu Xiaofeng Wang Wangbo Zhao Chen Min Nianchen Deng ... Dawei Zhao Liang Xiao Jian-jun Zhao Jiwen Lu Guan Huang VGen LM&Ro 79 36 0 06 May 2024