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Extended Flow Matching: a Method of Conditional Generation with
  Generalized Continuity Equation
v1v2v3v4v5v6 (latest)

Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation

29 February 2024
Noboru Isobe
Masanori Koyama
Jinzhe Zhang
Kohei Hayashi
Kenji Fukumizu
ArXiv (abs)PDFHTML

Papers citing "Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation"

19 / 19 papers shown
Title
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
Mashrur M. Morshed
Vishnu Boddeti
85
0
0
10 Apr 2025
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic
Xi Zhang
Brandon Amos
Mathieu Blanchette
Leo J. Lee
Yoshua Bengio
Alexander Tong
Kirill Neklyudov
148
12
0
26 Aug 2024
Improved motif-scaffolding with SE(3) flow matching
Improved motif-scaffolding with SE(3) flow matching
Jason Yim
Andrew Campbell
Emile Mathieu
Andrew Y. K. Foong
Michael Gastegger
...
Victor Garcia Satorras
Bastiaan S. Veeling
Frank Noé
Regina Barzilay
Tommi Jaakkola
58
37
0
08 Jan 2024
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion
  Models
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Angela Castillo
Jonas Kohler
Juan C. Pérez
Juan Pablo Pérez
Albert Pumarola
Guohao Li
Pablo Arbelaez
Ali K. Thabet
87
13
0
19 Dec 2023
Inferring Atmospheric Properties of Exoplanets with Flow Matching and
  Neural Importance Sampling
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling
Timothy D. Gebhard
J. Wildberger
Maximilian Dax
Daniel Angerhausen
S. Quanz
Bernhard Schölkopf
38
6
0
13 Dec 2023
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation
  and Editing
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing
Haoyu Zhao
Tianyi Lu
Jiaxi Gu
Xing Zhang
Qingping Zheng
Zuxuan Wu
Hang Xu
Yu-Gang Jiang
VGenDiffM
89
12
0
29 Nov 2023
Guided Flows for Generative Modeling and Decision Making
Guided Flows for Generative Modeling and Decision Making
Qinqing Zheng
Matt Le
Neta Shaul
Y. Lipman
Aditya Grover
Ricky T. Q. Chen
81
45
0
22 Nov 2023
Functional Flow Matching
Functional Flow Matching
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
74
18
0
26 May 2023
Improving and generalizing flow-based generative models with minibatch
  optimal transport
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong
Kilian Fatras
Nikolay Malkin
G. Huguet
Yanlei Zhang
Jarrid Rector-Brooks
Guy Wolf
Yoshua Bengio
OODDiffMOT
114
304
0
01 Feb 2023
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
241
67
0
30 Sep 2022
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
195
1,043
0
07 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
193
3,963
0
26 Jul 2022
Equivariant Diffusion for Molecule Generation in 3D
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom
Victor Garcia Satorras
Clément Vignac
Max Welling
DiffM
127
618
0
31 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
283
30,149
0
01 Mar 2022
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
289
7,454
0
06 Oct 2020
Linear Optimal Transport Embedding: Provable Wasserstein classification
  for certain rigid transformations and perturbations
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations
Caroline Moosmüller
A. Cloninger
OT
122
45
0
20 Aug 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
352
1,369
0
12 Feb 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,005
0
12 Mar 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
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