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Flow Matching for Generative Modeling
v1v2 (latest)

Flow Matching for Generative Modeling

International Conference on Learning Representations (ICLR), 2022
6 October 2022
Y. Lipman
Ricky T. Q. Chen
Heli Ben-Hamu
Maximilian Nickel
Matt Le
    OOD
ArXiv (abs)PDFHTMLHuggingFace (3 upvotes)

Papers citing "Flow Matching for Generative Modeling"

50 / 1,864 papers shown
Improving Consistency Models with Generator-Augmented Flows
Improving Consistency Models with Generator-Augmented Flows
Thibaut Issenhuth
Sangchul Lee
Ludovic Dos Santos
Jean-Yves Franceschi
Chansoo Kim
Alain Rakotomamonjy
162
0
0
13 Jun 2024
Causality for Tabular Data Synthesis: A High-Order Structure Causal
  Benchmark Framework
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
Ruibo Tu
Zineb Senane
Lele Cao
Cheng Zhang
Hedvig Kjellström
G. Henter
CML
404
5
0
12 Jun 2024
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
199
20
0
12 Jun 2024
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion
  Models
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
Hyungjin Chung
Jeongsol Kim
Geon Yeong Park
Hyelin Nam
Jong Chul Ye
DiffM
218
74
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
207
1
0
10 Jun 2024
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot
  TTS
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTSInterspeech (Interspeech), 2024
Xiaofei Wang
Sefik Emre Eskimez
Manthan Thakker
Hemin Yang
Zirun Zhu
...
Yufei Xia
Jinzhu Li
Sheng Zhao
Jinyu Li
Naoyuki Kanda
156
6
0
09 Jun 2024
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis
Zhijun Liu
Shuai Wang
Sho Inoue
Qibing Bai
Haizhou Li
DiffM
184
32
0
08 Jun 2024
A Comprehensive Evaluation of Generative Models in Calorimeter Shower
  Simulation
A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation
Farzana Yasmin Ahmad
Vanamala Venkataswamy
Geoffrey Fox
DiffM
196
9
0
08 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 speechInterspeech (Interspeech), 2024
Shivam Mehta
Harm Lameris
Rajiv Punmiya
Jonas Beskow
Éva Székely
G. Henter
194
5
0
08 Jun 2024
VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text
  to Speech Synthesizers
VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers
Sanyuan Chen
Shujie Liu
Long Zhou
Yanqing Liu
Xu Tan
Jinyu Li
Sheng Zhao
Yao Qian
Furu Wei
VLM
273
149
0
08 Jun 2024
Progressive Entropic Optimal Transport Solvers
Progressive Entropic Optimal Transport SolversNeural Information Processing Systems (NeurIPS), 2024
Parnian Kassraie
Aram-Alexandre Pooladian
Stephen Zhang
James Thornton
Jonathan Niles-Weed
Marco Cuturi
OT
317
7
0
07 Jun 2024
FlowMM: Generating Materials with Riemannian Flow Matching
FlowMM: Generating Materials with Riemannian Flow MatchingInternational Conference on Machine Learning (ICML), 2024
Benjamin Kurt Miller
Ricky T. Q. Chen
Anuroop Sriram
Brandon M. Wood
297
80
0
07 Jun 2024
Variational Flow Matching for Graph Generation
Variational Flow Matching for Graph GenerationNeural Information Processing Systems (NeurIPS), 2024
Floor Eijkelboom
Grigory Bartosh
C. A. Naesseth
Max Welling
Jan-Willem van de Meent
449
37
0
07 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 DataJournal of Mathematical Imaging and Vision (JMIV), 2024
Bastian Boll
Daniel Gonzalez-Alvarado
Stefania Petra
Christoph Schnörr
443
5
0
06 Jun 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise
  Optimization
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise OptimizationNeural Information Processing Systems (NeurIPS), 2024
L. Eyring
Shyamgopal Karthik
Karsten Roth
Alexey Dosovitskiy
Zeynep Akata
318
67
0
06 Jun 2024
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT
Le Zhuo
Ruoyi Du
Han Xiao
Yangguang Li
Dongyang Liu
...
Wanli Ouyang
Ziwei Liu
Ping Luo
Hongsheng Li
Peng Gao
305
105
0
05 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
213
13
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
486
82
0
03 Jun 2024
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
Mingyuan Zhou
Zhendong Wang
Huangjie Zheng
Hai Huang
VLMDiffM
277
2
0
03 Jun 2024
Full-Atom Peptide Design based on Multi-modal Flow Matching
Full-Atom Peptide Design based on Multi-modal Flow Matching
Jiahan Li
Chaoran Cheng
Zuofan Wu
Ruihan Guo
Shitong Luo
Zhizhou Ren
Jian-wei Peng
Jianzhu Ma
327
31
0
02 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with
  Mixed-Variable Context Encoding
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
MoEAI4CE
287
3
0
02 Jun 2024
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
Yongqi Wang
Wenxiang Guo
Rongjie Huang
Jia-Bin Huang
Zehan Wang
Fuming You
Ruiqi Li
Zhou Zhao
VGenDiffM
538
4
0
01 Jun 2024
Neural Optimal Transport with Lagrangian Costs
Neural Optimal Transport with Lagrangian Costs
Aram-Alexandre Pooladian
Carles Domingo-Enrich
Ricky T. Q. Chen
Brandon Amos
OT
370
20
0
01 Jun 2024
Sifting through the Noise: A Survey of Diffusion Probabilistic Models
  and Their Applications to Biomolecules
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules
Trevor Norton
Debswapna Bhattacharya
MedImDiffM
259
2
0
31 May 2024
Improving the Training of Rectified Flows
Improving the Training of Rectified Flows
Sangyun Lee
Zinan Lin
Giulia Fanti
271
64
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
290
46
0
30 May 2024
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified
  Flow
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
Chaoyang Wang
Xiangtai Li
Lu Qi
Henghui Ding
Yunhai Tong
Ming-Hsuan Yang
DiffM
301
13
0
30 May 2024
MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models
MotionDreamer: Zero-Shot 3D Mesh Animation from Video Diffusion Models
Lukas Uzolas
E. Eisemann
Petr Kellnhofer
320
1
0
30 May 2024
Preference Alignment with Flow Matching
Preference Alignment with Flow Matching
Minu Kim
Yongsik Lee
Sehyeok Kang
Jihwan Oh
Song Chong
Seyoung Yun
208
5
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
235
3
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
444
29
0
29 May 2024
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow
  Matching
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
Divya Nori
Wengong Jin
AI4CE
345
19
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
520
10
0
28 May 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models
Fast Samplers for Inverse Problems in Iterative Refinement Models
Kushagra Pandey
Ruihan Yang
Stephan Mandt
DiffM
309
11
0
27 May 2024
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
270
38
0
27 May 2024
Gradients of Functions of Large Matrices
Gradients of Functions of Large Matrices
Nicholas Krämer
Pablo Moreno-Muñoz
Hrittik Roy
Søren Hauberg
203
2
0
27 May 2024
Reflected Flow Matching
Reflected Flow Matching
Tianyu Xie
Yu Zhu
Longlin Yu
Tong Yang
Ziheng Cheng
Shiyue Zhang
Xiangyu Zhang
Cheng Zhang
213
9
0
26 May 2024
Categorical Flow Matching on Statistical Manifolds
Categorical Flow Matching on Statistical ManifoldsNeural Information Processing Systems (NeurIPS), 2024
Chaoran Cheng
Jiahan Li
Jian-wei Peng
Ge Liu
457
20
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
302
13
0
25 May 2024
Out of Many, One: Designing and Scaffolding Proteins at the Scale of the
  Structural Universe with Genie 2
Out of Many, One: Designing and Scaffolding Proteins at the Scale of the Structural Universe with Genie 2
Yeqing Lin
Minji Lee
Zhao Zhang
Mohammed AlQuraishi
DiffM
207
42
0
24 May 2024
Diffusion Bridge Implicit Models
Diffusion Bridge Implicit Models
Kaiwen Zheng
Guande He
Jianfei Chen
Fan Bao
Jun Zhu
DiffM
445
34
0
24 May 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time ComplexityNeural Information Processing Systems (NeurIPS), 2024
Haoxuan Chen
Yinuo Ren
Lexing Ying
Grant M. Rotskoff
320
38
0
24 May 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy
  Physics
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy PhysicsNeural Information Processing Systems (NeurIPS), 2024
Jonas Spinner
Victor Bresó
P. D. Haan
Tilman Plehn
Jesse Thaler
Johann Brehmer
AI4CE
290
37
0
23 May 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold
Metric Flow Matching for Smooth Interpolations on the Data ManifoldNeural Information Processing Systems (NeurIPS), 2024
Kacper Kapusniak
Peter Potaptchik
Teodora Reu
Leo Zhang
Alexander Tong
Michael M. Bronstein
A. Bose
Francesco Di Giovanni
264
44
0
23 May 2024
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
RectifID: Personalizing Rectified Flow with Anchored Classifier GuidanceNeural Information Processing Systems (NeurIPS), 2024
Zhicheng Sun
Zhenhao Yang
Yang Jin
Haozhe Chi
Kun Xu
...
Hao Jiang
Di Zhang
Yang Song
Kun Gai
Yadong Mu
255
10
0
23 May 2024
Fisher Flow Matching for Generative Modeling over Discrete Data
Fisher Flow Matching for Generative Modeling over Discrete DataNeural Information Processing Systems (NeurIPS), 2024
Oscar Davis
Samuel Kessler
Mircea Petrache
.Ismail .Ilkan Ceylan
Michael M. Bronstein
A. Bose
468
34
0
23 May 2024
FUSE: Fast Unified Simulation and Estimation for PDEs
FUSE: Fast Unified Simulation and Estimation for PDEsNeural Information Processing Systems (NeurIPS), 2024
Levi E. Lingsch
Dana Grund
Siddhartha Mishra
Georgios Kissas
AI4CE
298
4
0
23 May 2024
Adversarial Schrödinger Bridge Matching
Adversarial Schrödinger Bridge MatchingNeural Information Processing Systems (NeurIPS), 2024
Nikita Gushchin
Daniil Selikhanovych
Sergei Kholkin
Evgeny Burnaev
Alexander Korotin
OTDiffM
162
7
0
23 May 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing
  Flows
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2024
A. Cabezas
Louis Sharrock
Christopher Nemeth
236
7
0
23 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models
AdjointDEIS: Efficient Gradients for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024
Zander W. Blasingame
Chen Liu
DiffM
487
7
0
23 May 2024
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