ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.07068
  4. Cited By
Score-Based Generative Modeling with Critically-Damped Langevin
  Diffusion

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

14 December 2021
Tim Dockhorn
Arash Vahdat
Karsten Kreis
    DiffM
ArXivPDFHTML

Papers citing "Score-Based Generative Modeling with Critically-Damped Langevin Diffusion"

25 / 75 papers shown
Title
Equivariant Energy-Guided SDE for Inverse Molecular Design
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao
Min Zhao
Zhongkai Hao
Pei‐Yun Li
Chongxuan Li
Jun Zhu
DiffM
190
64
0
30 Sep 2022
Face Super-Resolution Using Stochastic Differential Equations
Face Super-Resolution Using Stochastic Differential Equations
Marcelo dos Santos
Rayson Laroca
Rafael O. Ribeiro
João Neves
Hugo Proencca
David Menotti
DiffM
24
12
0
24 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffM
MedIm
224
1,304
0
02 Sep 2022
Comprehensive Dataset of Face Manipulations for Development and
  Evaluation of Forensic Tools
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools
Brian DeCann
K. Trapeznikov
CVBM
26
2
0
24 Aug 2022
Score-Based Diffusion meets Annealed Importance Sampling
Score-Based Diffusion meets Annealed Importance Sampling
Arnaud Doucet
Will Grathwohl
A. G. Matthews
Heiko Strathmann
DiffM
41
43
0
16 Aug 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
30
77
0
17 Jun 2022
A Flexible Diffusion Model
A Flexible Diffusion Model
Weitao Du
Tao Yang
Heidi Zhang
Yuanqi Du
DiffM
30
11
0
17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order
  Denoising Score Matching
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
Cheng Lu
Kaiwen Zheng
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
39
81
0
16 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion
  Probabilistic Models
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao
Chongxuan Li
Jiacheng Sun
Jun Zhu
Bo Zhang
DiffM
30
72
0
15 Jun 2022
Convergence for score-based generative modeling with polynomial
  complexity
Convergence for score-based generative modeling with polynomial complexity
Holden Lee
Jianfeng Lu
Yixin Tan
DiffM
18
126
0
13 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang
Molei Tao
Yongxin Chen
DiffM
34
112
0
11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative
  Models
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese
Simone Rossi
Lixuan Yang
A. Finamore
Dario Rossi
Maurizio Filippone
Pietro Michiardi
DiffM
13
46
0
10 Jun 2022
Score-Based Generative Models Detect Manifolds
Score-Based Generative Models Detect Manifolds
Jakiw Pidstrigach
DiffM
27
72
0
02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
36
1,342
0
02 Jun 2022
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
191
134
0
30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
213
51
0
27 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang
Yongxin Chen
DiffM
22
415
0
29 Apr 2022
Conditional Simulation Using Diffusion Schrödinger Bridges
Conditional Simulation Using Diffusion Schrödinger Bridges
Yuyang Shi
Valentin De Bortoli
George Deligiannidis
Arnaud Doucet
DiffM
17
52
0
27 Feb 2022
Score-based Generative Modeling of Graphs via the System of Stochastic
  Differential Equations
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo
Seul Lee
Sung Ju Hwang
DiffM
22
210
0
05 Feb 2022
Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI Era
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
Eric Xing
EGVM
29
48
0
27 Dec 2021
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal
  Derivatives
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives
Hideyuki Tachibana
Mocho Go
Muneyoshi Inahara
Yotaro Katayama
Yotaro Watanabe
DiffM
27
3
0
26 Dec 2021
Generative Probabilistic Image Colorization
Generative Probabilistic Image Colorization
Chie Furusawa
S. Kitaoka
Michael Li
Yuri Odagiri
DiffM
171
4
0
29 Sep 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
721
0
02 Mar 2021
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
195
258
0
07 Jan 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
Previous
12