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Fast Sampling of Diffusion Models via Operator Learning

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"

13 / 113 papers shown
Title
A Geometric Perspective on Diffusion Models
A Geometric Perspective on Diffusion Models
Defang Chen
Zhenyu Zhou
Jianhan Mei
Chunhua Shen
Chun-Yen Chen
C. Wang
DiffM
18
18
0
31 May 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From
  Pre-trained Diffusion Models
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Weijian Luo
Tianyang Hu
Shifeng Zhang
Jiacheng Sun
Zhenguo Li
Zhihua Zhang
27
106
0
29 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
DiffM
MedIm
30
33
0
09 Apr 2023
TRACT: Denoising Diffusion Models with Transitive Closure
  Time-Distillation
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot
Arnaud Autef
Jierui Lin
Dian Ang Yap
Shuangfei Zhai
Siyuan Hu
Daniel Zheng
Walter Talbot
Eric Gu
DiffM
23
81
0
07 Mar 2023
Consistency Models
Consistency Models
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLM
DiffM
11
861
0
02 Mar 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee
Beomsu Kim
Jong Chul Ye
30
53
0
27 Jan 2023
Thompson Sampling with Diffusion Generative Prior
Thompson Sampling with Diffusion Generative Prior
Yu-Guan Hsieh
S. Kasiviswanathan
B. Kveton
Patrick Blobaum
DiffM
11
7
0
12 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang
Han Zhang
Jarred Barber
AJ Maschinot
José Lezama
...
Kevin Patrick Murphy
William T. Freeman
Michael Rubinstein
Yuanzhen Li
Dilip Krishnan
DiffM
197
517
0
02 Jan 2023
Lossy Image Compression with Conditional Diffusion Models
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang
Stephan Mandt
DiffM
11
124
0
14 Sep 2022
A Survey on Generative Diffusion Model
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
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
195
415
0
16 May 2022
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
184
259
0
07 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,272
0
18 Oct 2020
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