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UniDB++: Fast Sampling of Unified Diffusion Bridge

UniDB++: Fast Sampling of Unified Diffusion Bridge

23 May 2025
Mokai Pan
Kaizhen Zhu
Yuexin Ma
Yanwei Fu
Jingyi Yu
Jingya Wang
Ye Shi
ArXivPDFHTML

Papers citing "UniDB++: Fast Sampling of Unified Diffusion Bridge"

32 / 32 papers shown
Title
S4S: Solving for a Diffusion Model Solver
Eric Frankel
Sitan Chen
Jingkai Li
Pang Wei Koh
Lillian J. Ratliff
Sewoong Oh
DiffM
78
3
0
24 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
Ao Li
Wei Fang
Hongbo Zhao
Le Lu
Ge Yang
Minfeng Xu
DiffM
88
1
0
11 Feb 2025
RB-Modulation: Training-Free Personalization of Diffusion Models using
  Stochastic Optimal Control
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Litu Rout
Yujia Chen
Nataniel Ruiz
Abhishek Kumar
Constantine Caramanis
Sanjay Shakkottai
Wen-Sheng Chu
DiffM
71
26
0
27 May 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy
  Optimization
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
Shutong Ding
Ke Hu
Zhenhao Zhang
Kan Ren
Weinan Zhang
Jingyi Yu
Jingya Wang
Ye-ling Shi
92
17
0
25 May 2024
Diffusion Bridge Implicit Models
Diffusion Bridge Implicit Models
Kaiwen Zheng
Guande He
Jianfei Chen
Fan Bao
Jun Zhu
DiffM
120
17
0
24 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
80
5
0
06 May 2024
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model
  Statistics
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
89
88
0
20 Oct 2023
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
S. E. Ada
Erhan Öztop
Emre Ugur
OffRL
91
21
0
10 Jul 2023
Diffusion Schrödinger Bridge Matching
Diffusion Schrödinger Bridge Matching
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
96
85
0
29 Mar 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Cheng Chi
Zhenjia Xu
S. Feng
Eric A. Cousineau
Yilun Du
Benjamin Burchfiel
Russ Tedrake
Shuran Song
337
1,175
0
07 Mar 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of
  Diffusion Models
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Wenliang Zhao
Lujia Bai
Yongming Rao
Jie Zhou
Jiwen Lu
DiffM
66
217
0
09 Feb 2023
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
141
590
0
02 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung
Jeongsol Kim
Michael T. McCann
M. Klasky
J. C. Ye
DiffM
105
836
0
29 Sep 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Huayu Chen
Cheng Lu
Chengyang Ying
Hang Su
Jun Zhu
DiffM
OffRL
151
116
0
29 Sep 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
190
1,419
0
02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
171
1,967
0
01 Jun 2022
Video Diffusion Models
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffM
VGen
180
1,610
0
07 Apr 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
267
833
0
27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
340
1,404
0
24 Jan 2022
Diffusion Schrödinger Bridge with Applications to Score-Based
  Generative Modeling
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli
James Thornton
J. Heng
Arnaud Doucet
DiffM
OT
96
465
0
01 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
206
7,818
0
11 May 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
324
3,675
0
18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
325
6,444
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
247
7,350
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
569
18,008
0
19 Jun 2020
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
363
11,790
0
11 Jan 2018
Attentive Generative Adversarial Network for Raindrop Removal from a
  Single Image
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
Rui Qian
R. Tan
Wenhan Yang
Jiajun Su
Jiaying Liu
GAN
97
635
0
28 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
127
7,351
0
27 Oct 2017
Deep Joint Rain Detection and Removal from a Single Image
Deep Joint Rain Detection and Removal from a Single Image
Wenhan Yang
R. Tan
Jiashi Feng
Jiaying Liu
Zongming Guo
Shuicheng Yan
180
1,005
0
25 Sep 2016
A Formal Evaluation of PSNR as Quality Measurement Parameter for Image
  Segmentation Algorithms
A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms
Fernando A. Fardo
Victor H. Conforto
Francisco C. de Oliveira
P. Rodrigues
35
63
0
23 May 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
288
6,925
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
1