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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Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images Mareike Thies Noah Maul Siyuan Mei Laura Pfaff Nastassia Vysotskaya ... Jonas Utz Dennis Possart Lukas Folle Fabian Wagner Andreas K. Maier MedIm DiffM 16 0 0 23 Apr 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models Amirmojtaba Sabour Sanja Fidler Karsten Kreis DiffM 32 24 0 22 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 34 11 0 22 Apr 2024
Accelerating the Generation of Molecular Conformations with Progressive Distillation of Equivariant Latent Diffusion Models Romain Lacombe Neal Vaidya 19 0 0 21 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 29 7 0 19 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 47 50 0 05 Apr 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 52 11 0 26 Mar 2024
One-Step Image Translation with Text-to-Image Models Gaurav Parmar Taesung Park Srinivasa Narasimhan Jun-Yan Zhu 37 43 0 18 Mar 2024
Reward Guided Latent Consistency Distillation Jiachen Li Weixi Feng Wenhu Chen William Yang Wang EGVM 21 11 0 16 Mar 2024
Multistep Consistency Models Jonathan Heek Emiel Hoogeboom Tim Salimans 34 35 0 11 Mar 2024
FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing Youyuan Zhang Xuan Ju James J. Clark VGen DiffM 32 6 0 10 Mar 2024
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning P. Hess Michael Aich Baoxiang Pan Niklas Boers AI4Cl 23 2 0 05 Mar 2024
Learning to See Through Dazzle Xiaopeng Peng Erin F. Fleet A. Watnik Grover A. Swartzlander GAN AAML 20 4 0 24 Feb 2024
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching Zizheng Pan Bohan Zhuang De-An Huang Weili Nie Zhiding Yu Chaowei Xiao Jianfei Cai A. Anandkumar 28 17 0 21 Feb 2024
Controllable seismic velocity synthesis using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 19 4 0 09 Feb 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics Minkai Xu Jiaqi Han Aaron Lou Jean Kossaifi Arvind Ramanathan Kamyar Azizzadenesheli J. Leskovec Stefano Ermon A. Anandkumar AI4CE 24 16 0 19 Jan 2024
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition Parul Gupta Tuan Nguyen Abhinav Dhall Munawar Hayat Trung Le Thanh-Toan Do 25 0 0 01 Jan 2024
A Mathematical Guide to Operator Learning Nicolas Boullé Alex Townsend 29 36 0 22 Dec 2023
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation Akio Kodaira Chenfeng Xu Toshiki Hazama Takanori Yoshimoto Kohei Ohno Shogo Mitsuhori Soichi Sugano Hanying Cho Zhijian Liu Kurt Keutzer 18 31 0 19 Dec 2023
Unraveling the Temporal Dynamics of the Unet in Diffusion Models Vidya Prasad Zhu-Tian Chen Anna Vilanova Hanspeter Pfister Nicola Pezzotti Hendrik Strobelt DiffM 8 4 0 17 Dec 2023
One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng Ashwini Pokle Trevor Killeen 26 28 0 12 Dec 2023
Approximate Caching for Efficiently Serving Diffusion Models Shubham Agarwal Subrata Mitra Sarthak Chakraborty Srikrishna Karanam Koyel Mukherjee S. Saini DiffM 23 4 0 07 Dec 2023
DeepCache: Accelerating Diffusion Models for Free Xinyin Ma Gongfan Fang Xinchao Wang 10 122 0 01 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
On Exact Inversion of DPM-Solvers Seongmin Hong Kyeonghyun Lee Suh Yoon Jeon Hyewon Bae Se Young Chun DiffM 16 21 0 30 Nov 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 24 5 0 30 Nov 2023
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation Yifan Zhang Bryan Hooi VLM 27 9 0 30 Nov 2023
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations Delaram Pirhayatifard Taha Toghani Guha Balakrishnan César A. Uribe DiffM 20 0 0 27 Nov 2023
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models C. Rota M. Buzzelli J. Weijer DiffM 23 3 0 27 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models Fei Kong Jinhao Duan Lichao Sun Hao-Ran Cheng Renjing Xu Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu 29 3 0 23 Nov 2023
SinSR: Diffusion-Based Image Super-Resolution in a Single Step Yufei Wang Wenhan Yang Xinyuan Chen Yaohui Wang Lanqing Guo Lap-Pui Chau Ziwei Liu Yu Qiao Alex C. Kot Bihan Wen DiffM 73 97 0 23 Nov 2023
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models Shengzhe Zhou Zejian Lee Sheng Zhang Lefan Hou Changyuan Yang Guang Yang Zhiyuan Yang Lingyun Sun DiffM 24 0 0 07 Nov 2023
Patch-based Selection and Refinement for Early Object Detection Tianyi Zhang Kishore Kasichainula Yaoxin Zhuo Baoxin Li Jae-sun Seo Yu Cao 25 5 0 03 Nov 2023
Score Normalization for a Faster Diffusion Exponential Integrator Sampler Guoxuan Xia Duolikun Danier Ayan Das Stathi Fotiadis F. Nabiei Ushnish Sengupta A. Bernacchia DiffM 19 3 0 31 Oct 2023
The Missing U for Efficient Diffusion Models Sergio Calvo-Ordoñez Chun-Wun Cheng Jiahao Huang Lipei Zhang Guang Yang Carola-Bibiane Schonlieb Angelica I Aviles-Rivero DiffM 27 4 0 31 Oct 2023
Bespoke Solvers for Generative Flow Models Neta Shaul Juan C. Pérez Ricky T. Q. Chen Ali K. Thabet Albert Pumarola Y. Lipman 20 23 0 29 Oct 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration Longlin Yu Tianyu Xie Yu Zhu Tong Yang Xiangyu Zhang Cheng Zhang DiffM 8 5 0 26 Oct 2023
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 15 148 0 22 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng Zhendong Wang Jianbo Yuan Guanghan Ning Pengcheng He Quanzeng You Hongxia Yang Mingyuan Zhou 33 8 0 10 Oct 2023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference Simian Luo Yiqin Tan Longbo Huang Jian Li Hang Zhao DiffM 22 426 0 06 Oct 2023
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation Kangfu Mei M. Delbracio Hossein Talebi Zhengzhong Tu Vishal M. Patel P. Milanfar VLM DiffM 56 11 0 02 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 29 170 0 01 Oct 2023
Compositional Foundation Models for Hierarchical Planning Anurag Ajay Seung-Jun Han Yilun Du Shaung Li Abhi Gupta Tommi Jaakkola Josh Tenenbaum L. Kaelbling Akash Srivastava Pulkit Agrawal LRM 17 64 0 15 Sep 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 16 10 0 14 Sep 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 22 24 0 11 Sep 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey Xin Li Yulin Ren Xin Jin Cuiling Lan X. Wang Wenjun Zeng Xinchao Wang Zhibo Chen 39 46 0 18 Aug 2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution Axi Niu T. Pham Kang Zhang Jinqiu Sun Yu Zhu Inso Kweon Yanning Zhang DiffM 20 19 0 03 Jul 2023
DiffComplete: Diffusion-based Generative 3D Shape Completion Ruihang Chu Enze Xie Shentong Mo Zhenguo Li Matthias Nießner Chi-Wing Fu Jiaya Jia DiffM 21 22 0 28 Jun 2023
Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng Weili Nie Arash Vahdat Anima Anandkumar DiffM 28 68 0 15 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 52 0 07 Jun 2023