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Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

19 March 2024
Nikita Kornilov
Petr Mokrov
Alexander Gasnikov
Alexander Korotin
ArXivPDFHTML

Papers citing "Optimal Flow Matching: Learning Straight Trajectories in Just One Step"

14 / 14 papers shown
Title
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Milena Gazdieva
Jaemoo Choi
Alexander Kolesov
Jaewoong Choi
Petr Mokrov
Alexander Korotin
OT
101
1
0
04 Oct 2024
Neural Entropy
Neural Entropy
Akhil Premkumar
DiffM
123
0
0
05 Sep 2024
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
71
5
0
19 May 2023
Energy-guided Entropic Neural Optimal Transport
Energy-guided Entropic Neural Optimal Transport
Petr Mokrov
Alexander Korotin
Alexander Kolesov
Nikita Gushchin
Evgeny Burnaev
OT
76
21
0
12 Apr 2023
Diffusion Schrödinger Bridge Matching
Diffusion Schrödinger Bridge Matching
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
85
82
0
29 Mar 2023
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
114
960
0
07 Sep 2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin
Vage Egiazarian
Lingxiao Li
Evgeny Burnaev
55
27
0
28 Jan 2022
Neural Optimal Transport
Neural Optimal Transport
Alexander Korotin
Daniil Selikhanovych
Evgeny Burnaev
OT
165
94
0
28 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
75
448
0
01 Jun 2021
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
145
97
0
10 Dec 2020
Optimal transport mapping via input convex neural networks
Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva
Amirhossein Taghvaei
Sewoong Oh
Jason D. Lee
OT
23
199
0
28 Aug 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
513
10,500
0
12 Dec 2018
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
262
611
0
22 Sep 2016
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
144
4,210
0
04 Jun 2013
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