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Flow Matching for Generative Modeling

Flow Matching for Generative Modeling

6 October 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
    OOD
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Papers citing "Flow Matching for Generative Modeling"

50 / 256 papers shown
Title
LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation
LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation
Wenhao Guan
Kaidi Wang
Wangjin Zhou
Yang Wang
Feng Deng
Hui Wang
Lin Li
Q. Hong
Yong Qin
DiffM
36
3
0
12 Jun 2024
Learning Fine-Grained Controllability on Speech Generation via Efficient
  Fine-Tuning
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning
Chung-Ming Chien
Andros Tjandra
Apoorv Vyas
Matt Le
Bowen Shi
Wei-Ning Hsu
32
0
0
10 Jun 2024
Should you use a probabilistic duration model in TTS? Probably!
  Especially for spontaneous speech
Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech
Shivam Mehta
Harm Lameris
Rajiv Punmiya
Jonas Beskow
Éva Székely
G. Henter
33
1
0
08 Jun 2024
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data
Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data
Bastian Boll
Daniel Gonzalez-Alvarado
Stefania Petra
Christoph Schnörr
44
4
0
06 Jun 2024
Neural Thermodynamic Integration: Free Energies from Energy-based
  Diffusion Models
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
Bálint Máté
François Fleuret
Tristan Bereau
DiffM
46
2
0
04 Jun 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
63
31
0
03 Jun 2024
Improving the Training of Rectified Flows
Improving the Training of Rectified Flows
Sangyun Lee
Zinan Lin
Giulia Fanti
41
20
0
30 May 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone
  Generation
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
Guillaume Huguet
James Vuckovic
Kilian Fatras
Eric Thibodeau-Laufer
Pablo Lemos
...
Jarrid Rector-Brooks
Tara Akhound-Sadegh
Michael M. Bronstein
Alexander Tong
A. Bose
32
28
0
30 May 2024
Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data
Gaussian Flow Bridges for Audio Domain Transfer with Unpaired Data
Eloi Moliner
Sebastian Braun
H. Gamper
OT
50
2
0
29 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
Yasi Zhang
Peiyu Yu
Yaxuan Zhu
Yingshan Chang
Feng Gao
Yingnian Wu
Oscar Leong
83
7
0
29 May 2024
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
L. Bogensperger
Dominik Narnhofer
Alexander Falk
Konrad Schindler
Thomas Pock
MedIm
43
3
0
28 May 2024
Gradients of Functions of Large Matrices
Gradients of Functions of Large Matrices
Nicholas Krämer
Pablo Moreno-Muñoz
Hrittik Roy
Søren Hauberg
40
0
0
27 May 2024
Categorical Flow Matching on Statistical Manifolds
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng
Jiahan Li
Jian-wei Peng
Ge Liu
61
10
0
26 May 2024
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
Yuchen Zhu
Tianrong Chen
Lingkai Kong
Evangelos A. Theodorou
Molei Tao
DiffM
40
5
0
25 May 2024
Diffusion Bridge Implicit Models
Diffusion Bridge Implicit Models
Kaiwen Zheng
Guande He
Jianfei Chen
Fan Bao
Jun Zhu
DiffM
84
13
0
24 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models
AdjointDEIS: Efficient Gradients for Diffusion Models
Zander W. Blasingame
Chen Liu
DiffM
51
2
0
23 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
42
41
0
13 May 2024
Liouville Flow Importance Sampler
Liouville Flow Importance Sampler
Yifeng Tian
Nishant Panda
Yen Ting Lin
36
8
0
03 May 2024
Fake it to make it: Using synthetic data to remedy the data shortage in
  joint multimodal speech-and-gesture synthesis
Fake it to make it: Using synthetic data to remedy the data shortage in joint multimodal speech-and-gesture synthesis
Shivam Mehta
Anna Deichler
Jim O'Regan
Birger Moëll
Jonas Beskow
G. Henter
Simon Alexanderson
46
4
0
30 Apr 2024
Efficient Diffusion Model for Image Restoration by Residual Shifting
Efficient Diffusion Model for Image Restoration by Residual Shifting
Zongsheng Yue
Jianyi Wang
Chen Change Loy
DiffM
32
36
0
12 Mar 2024
Improving Diffusion-Based Generative Models via Approximated Optimal
  Transport
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
Daegyu Kim
Jooyoung Choi
Chaehun Shin
Uiwon Hwang
Sungroh Yoon
OT
42
2
0
08 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
118
1,085
0
05 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
36
0
0
05 Mar 2024
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Shahar Yadin
Noam Elata
T. Michaeli
DiffM
43
1
0
15 Feb 2024
Sequential Flow Straightening for Generative Modeling
Sequential Flow Straightening for Generative Modeling
Jongmin Yoon
Juho Lee
29
0
0
09 Feb 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
40
41
0
09 Feb 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
30
12
0
19 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
Joschka Birk
E. Buhmann
Cedric Ewen
Gregor Kasieczka
David Shih
38
12
0
30 Nov 2023
Touring sampling with pushforward maps
Touring sampling with pushforward maps
Vivien A. Cabannes
Charles Arnal
26
0
0
23 Nov 2023
Bespoke Solvers for Generative Flow Models
Bespoke Solvers for Generative Flow Models
Neta Shaul
Juan C. Pérez
Ricky T. Q. Chen
Ali K. Thabet
Albert Pumarola
Y. Lipman
28
23
0
29 Oct 2023
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
40
21
0
16 Oct 2023
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion
  Processes
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo
Sung Ju Hwang
DiffM
37
9
0
11 Oct 2023
Stochastic interpolants with data-dependent couplings
Stochastic interpolants with data-dependent couplings
M. S. Albergo
Mark Goldstein
Nicholas M. Boffi
Rajesh Ranganath
Eric Vanden-Eijnden
OT
30
30
0
05 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation
Mirror Diffusion Models for Constrained and Watermarked Generation
Guan-Horng Liu
T. Chen
Evangelos A. Theodorou
Molei Tao
DiffM
18
22
0
02 Oct 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Albert Mohwald
31
15
0
28 Sep 2023
Matcha-TTS: A fast TTS architecture with conditional flow matching
Matcha-TTS: A fast TTS architecture with conditional flow matching
Shivam Mehta
Ruibo Tu
Jonas Beskow
Éva Székely
G. Henter
24
72
0
06 Sep 2023
SE(3) Equivariant Augmented Coupling Flows
SE(3) Equivariant Augmented Coupling Flows
Laurence I. Midgley
Vincent Stimper
Javier Antorán
Emile Mathieu
Bernhard Schölkopf
José Miguel Hernández-Lobato
38
23
0
20 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
21
6
0
04 Aug 2023
Flow Matching in Latent Space
Flow Matching in Latent Space
Quan Dao
Hao Phung
Binh Duc Nguyen
Anh Tran
37
62
0
17 Jul 2023
Error Bounds for Flow Matching Methods
Error Bounds for Flow Matching Methods
Joe Benton
George Deligiannidis
Arnaud Doucet
DiffM
28
31
0
26 May 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
40
4
0
19 May 2023
Accurate transition state generation with an object-aware equivariant
  elementary reaction diffusion model
Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model
Chenru Duan
Yuanqi Du
Haojun Jia
Heather J. Kulik
DiffM
32
45
0
12 Apr 2023
GenPhys: From Physical Processes to Generative Models
GenPhys: From Physical Processes to Generative Models
Ziming Liu
Di Luo
Yilun Xu
Tommi Jaakkola
M. Tegmark
AI4CE
22
14
0
05 Apr 2023
Diffusion Schrödinger Bridge Matching
Diffusion Schrödinger Bridge Matching
Yuyang Shi
Valentin De Bortoli
Andrew Campbell
Arnaud Doucet
DiffM
OT
56
68
0
29 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
40
5
0
10 Mar 2023
Star-Shaped Denoising Diffusion Probabilistic Models
Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin
Dmitry Molchanov
V. Arkhipkin
Grigory Bartosh
Viktor Ohanesian
Aibek Alanov
Dmitry Vetrov
DiffM
40
12
0
10 Feb 2023
Flow Matching on General Geometries
Flow Matching on General Geometries
Ricky T. Q. Chen
Y. Lipman
AI4CE
29
67
0
07 Feb 2023
Self-Consistent Velocity Matching of Probability Flows
Self-Consistent Velocity Matching of Probability Flows
Lingxiao Li
Samuel Hurault
Justin Solomon
32
12
0
31 Jan 2023
A theory of continuous generative flow networks
A theory of continuous generative flow networks
Salem Lahlou
T. Deleu
Pablo Lemos
Dinghuai Zhang
Alexandra Volokhova
Alex Hernández-García
Léna Néhale Ezzine
Yoshua Bengio
Nikolay Malkin
AI4CE
42
79
0
30 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee
Beomsu Kim
Jong Chul Ye
46
53
0
27 Jan 2023
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