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Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

29 September 2022
Qiang Liu
    OT
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Papers citing "Rectified Flow: A Marginal Preserving Approach to Optimal Transport"

16 / 16 papers shown
Title
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
72
29
0
13 Mar 2025
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
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
Local Flow Matching Generative Models
Local Flow Matching Generative Models
Chen Xu
Xiuyuan Cheng
Yao Xie
44
0
0
03 Jan 2025
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
Tianyun Zhong
Chao Liang
Jianwen Jiang
Gaojie Lin
Jiaqi Yang
Zhou Zhao
DiffM
96
1
0
22 Dec 2024
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
Quan Dao
Hao Phung
T. Dao
Dimitris Metaxas
Anh Tran
90
1
0
22 Dec 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Martin
Anne Gagneux
Paul Hagemann
Gabriele Steidl
42
9
0
03 Oct 2024
Improving the Training of Rectified Flows
Improving the Training of Rectified Flows
Sangyun Lee
Zinan Lin
Giulia Fanti
36
19
0
30 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
Hanshu Yan
Xingchao Liu
Jiachun Pan
Jun Hao Liew
Qiang Liu
Jiashi Feng
34
40
0
13 May 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Tara Akhound-Sadegh
Jarrid Rector-Brooks
A. Bose
Sarthak Mittal
Pablo Lemos
...
Siamak Ravanbakhsh
Gauthier Gidel
Yoshua Bengio
Nikolay Malkin
Alexander Tong
DiffM
34
41
0
09 Feb 2024
A Computational Framework for Solving Wasserstein Lagrangian Flows
A Computational Framework for Solving Wasserstein Lagrangian Flows
Kirill Neklyudov
Rob Brekelmans
Alexander Tong
Lazar Atanackovic
Qiang Liu
Alireza Makhzani
OT
28
17
0
16 Oct 2023
Computing high-dimensional optimal transport by flow neural networks
Computing high-dimensional optimal transport by flow neural networks
Chen Xu
Xiuyuan Cheng
Yao Xie
OT
35
4
0
19 May 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and
  Generative Modeling
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
Stefano Peluchetti
OT
DiffM
16
48
0
03 Apr 2023
Diffusion Schrödinger Bridge Matching
Diffusion Schrödinger Bridge Matching
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
53
65
0
29 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
32
53
0
27 Jan 2023
Neural Optimal Transport
Neural Optimal Transport
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
127
88
0
28 Jan 2022
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
112
95
0
10 Dec 2020
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