Flow Matching for Generative Modeling
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le
ICLR 2023. [Paper]
10 Oct 2022

Building Normalizing Flows with Stochastic Interpolants
Michael S. Albergo and Eric Vanden-Eijnden
ICLR 2023. [Paper]
Sept 2022

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
Arxiv 2023. [Paper]
March 2023

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu, Chengyue Gong, Qiang Liu
ICLR 2023. [Paper]
Sep 2022

Minimizing trajectory curvature of ode-based generative models
Sangyun Lee, Beomsu Kim, Jong Chul Ye
ICML 2023. [Paper]
Jan 2023

Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
Arxiv Apr 2023. [Paper]

Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
ICML 2024. [Paper]

On Kinetic Optimal Probability Paths for Generative Models
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matt Le, Yaron Lipman
Arxiv June 2023. [Paper]

Bellman Optimal Stepsize Straightening of Flow-Matching Models
Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
ICLR 2024. [Paper]

Action Matching: Learning Stochastic Dynamics from Samples
Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani
ICML 2023. [Paper]
Oct 2022

Stochastic Interpolants with Data-Dependent Couplings
Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
ICML 2024. [Paper]

Error Bounds for Flow Matching Methods
Joe Benton, George Deligiannidis, Arnaud Doucet
Arxiv 2023. [Paper]

Flow Map Matching
Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden
Arxiv 2024. [Paper]

Functional Flow Matching
Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
Arxiv May 2023. [Paper]

Metric Flow Matching for Smooth Interpolations on the Data Manifold
Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni
Arxiv May 2023. [Paper]

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten
Arxiv 2024. [Paper]

Variational Schrödinger Diffusion Models
Wei Deng, Weijian Luo, Yixin Tan, Marin Biloš, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen
ICML 2024. [Paper]

Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
Arxiv April 2024. [Paper]

Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
Arxiv April 2024. [Paper]

Multidimensional Interpolants\ Dohoon Lee, Kyogu Lee
Arxiv April 2024. [Paper]

Discrete Flow Matching
Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
Arxiv July 2024. [Paper]

Variational flow matching for graph generation
Floor Eijkelboom, Grigory Bartosh, Christian A. Naesseth, Max Welling, Jan-Willem van de Meent
NeurIPS 2024. [Paper]

Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
Gleb Ryzhakov, Svetlana Pavlova, Egor Sevriugov, Ivan Oseledets
Arxiv 2024. [Paper]

Flow matching achieves minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama
Arxiv 2405. [Paper]

Improving the Training of Rectified Flows
Sangyun Lee, Zinan Lin, Giulia Fanti
Arxiv 2405. [Paper]

Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong, Kilian FATRAS, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio
TMLR 2024. [Paper]

Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon
ICLR 24. [Paper]

Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation
Noboru Isobe, Masanori Koyama, Kohei Hayashi, Kenji Fukumizu
Arxiv 2402. [Paper]

Bespoke Solvers for Generative Flow Models
Neta Shaul, Juan Perez, Ricky T. Q. Chen, Ali Thabet, Albert Pumarola, Yaron Lipman
Arxiv 2023. [Paper]

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
ICML 2023. [Paper]
May 2023

Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee, Beomsu Kim, Jong Chul Ye
arXiv 2023. [Paper]
Jan 2023

Self-Consistent Velocity Matching of Probability Flows
Lingxiao Li, Samuel Hurault, Justin Solomon
arXiv 2023. [Paper]
22 Feb 2023

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
arXiv 2023. [Paper]
15 Mar 2023

Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin, Yongpei Zhu, Yuxi Peng
arXiv 2023. [Paper]
15 Mar 2023

Generative Diffusions in Augmented Spaces: A Complete Recipe
Kushagra Pandey, Stephan Mandt
arXiv 2023. [Paper]
3 Mar 2023

A theory of continuous generative flow networks
Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin
arXiv 2023. [Paper,Code]
30 Jan 2023

Diffusion Schrödinger Bridge Matching
Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
Arxiv March 2023. [Paper]

Aligned Diffusion Schrödinger Bridges
Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, Maria Rodriguez Martinez, Andreas Krause, Charlotte Bunne
UAI 2023. [Paper]

Optimal Flow Matching: Learning Straight Trajectories in Just One Step
Nikita Kornilov, Alexander Gasnikov, Alexander Korotin
Arxiv 2403. [Paper]

Simplified Diffusion Schrödinger Bridge
Zhicong Tang, Tiankai Hang, Shuyang Gu, Dong Chen, Baining Guo
Arxiv 2403. [Paper]

Switched Flow Matching: Eliminating Singularities via Switching ODEs
Qunxi Zhu, Wei Lin
ICML 2024. [Paper]

Unbalanced Diffusion Schrödinger Bridge
Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli
Arxiv June 2024. [Paper]

Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling
Stefano Peluchetti
JMLR (2023). [Paper]

Learning Diffusion Bridges on Constrained Domains
Xingchao Liu, Lemeng Wu, Mao Ye, qiang liu
ICLR 2023. [Paper]

Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar
ICML 2023. [Paper]

On Schrödinger Bridge Matching and Expectation Maximization
Rob Brekelmans, Kirill Neklyudov
OTML 2023. [Paper]

Light and Optimal Schrödinger Bridge Matching
Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
ICML 2024. [Paper]

Fast Ensembling with Diffusion Schrödinger Bridge
Hyunsu Kim, Jongmin Yoon, Juho Lee
ICLR 2024. [Paper]

Generalized Schrödinger Bridge Matching
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos Theodorou, Ricky T. Q. Chen
ICLR 2024. [Paper]

Light Schrödinger Bridge
Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
ICLR 2024. [Paper]

Variational Flow Matching for Graph Generation Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent
Arxiv 2024/06. [Paper]

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali Thabet, Albert Pumarola, Yaron Lipman
Arxiv 2024/03. [Paper]

Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation Sophia Tang, Yinuo Zhang, Alexander Tong, Pranam Chatterjee
Arxiv 2025/03. [Paper]

Flow Matching in Latent Space Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
Arxiv 2023/07. [Paper]

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui
Arxiv 2024/07. [Paper]

SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow Chaoyang Wang, Xiangtai Li, Lu Qi, Henghui Ding, Yunhai Tong, Ming-Hsuan Yang
Arxiv 2024/05. [Paper]

Preference Alignment with Flow Matching Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Seyoung Yun
Arxiv 2024/05. [Paper]

Metric Flow Matching for Smooth Interpolations on the Data Manifold Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni
Arxiv 2024/05. [Paper]

Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers
Peng Gao, Le Zhuo, Ziyi Lin, Chris Liu, Junsong Chen, Ruoyi Du, Enze Xie, Xu Luo, Longtian Qiu, Yuhang Zhang, Chen Lin, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xi, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, He Tong, Jingwen He, Yu Qiao, Hongsheng Li
Arxiv 2024/05. [Paper]

Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
NeurIPS 2023. [Paper]

Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation
Ian Dunn, David Ryan Koes
Arxiv 2024/04. [Paper]

Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola
Arxiv 2024/02. [Paper]

D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
ICML 2024. [Paper]

Dynamic Conditional Optimal Transport through Simulation-Free Flows\ Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
Arxiv 2404. [Paper]

LayoutFlow: Flow Matching for Layout Generation
Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama
Arxiv 2403. [Paper]

Generalized Consistency Trajectory Models for Image Manipulation\ Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye
Arxiv 2403. [Paper]

Probabilistic Forecasting with Stochastic Interpolants and F¨ollmer Processes\ Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
Arxiv 2403. [Paper]

DepthFM: Fast Monocular Depth Estimation with Flow Matching
Ming Gui, Johannes S. Fischer*, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer*
Arxiv 2403. [Paper]

ZigMa: Zigzag Mamba Diffusion Model
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Fischer, Bjorn Ommer
ECCV 2024. [Paper]

AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu
Arxiv 2402. [Paper]

Precise Knowledge Transfer via Flow Matching
Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai
Arxiv 2402. [Paper]

Boosting Latent Diffusion with Flow Matching
Johannes S. Fischer, Ming Gui*, Pingchuan Ma*, Nick Stracke, Stefan A. Baumann, Björn Ommer*
ECCV 2024. [Paper]

Guided Flows for Generative Modeling and Decision Making
Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen
Arxiv 2311. [Paper]

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Kyle Lacey, Alex Goodwin, Yannik Marek, Robin Rombach
Arxiv 2403. [Paper]

Flow Matching for Conditional Text Generation in a Few Sampling Steps
Vincent Tao Hu, Di Wu, Yuki M. Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees G.M. Snoek
EACL 2024. [Paper]

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
Arxiv 2401. [Paper]

AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing, Bonnie Berger, Tommi Jaakkola
Arxiv 2402. [Paper]

Bellman Optimal Step-size Straightening of Flow-Matching Models
Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
Arxiv 2312. [Paper]

Latent Space Editing in Transformer-based Flow Matching
Vincent Tao Hu, David W Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G.M. Snoek
AAAI 2024. [Paper]

Motion Flow Matching for Human Motion Synthesis and Editing
Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M Asano, Efstratios Gavves, Pascal Mettes, Bjorn Ommer, Cees G. M. Snoek
Arxiv 2023. [Paper]

Guided Diffusion from Self-Supervised Diffusion Features
Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Bjorn Ommer
Arxiv 2023. [Paper]

Mosaic-SDF for 3D Generative Models
Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, Yaron Lipman
Arxiv 2312. [Paper]

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
Arxiv June 2023. [Paper]

Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions
Aram Davtyan, Paolo Favaro
Arxiv June 2023. [Paper]

Latent Space Editing in Transformer-based Flow Matching
Tao Hu, David W Zhang, Pascal Mettes, Meng Tang, Deli Zhao, and Cees G.M. Snoek
ICML 2023 Workshop, Oct 2023. [Paper]

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
Arxiv May 2023. [Paper]

Flow Matching for Scalable Simulation-Based Inference
Maximilian Dax, Jonas Wildberger, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf
Arxiv May 2023. [Paper]

Equivariant flow matching
Leon Klein, Andreas Krämer, Frank Noé
Arxiv June 2023. [Paper]

Fast Point Cloud Generation with Straight Flows
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
arXiv 2022. [Paper]
4 Dec 2022

Randomized Conditional Flow Matching for Video Prediction
Aram Davtyan, Sepehr Sameni, Paolo Favaro
arXiv 2022. [Paper]
16 Nov 2022

Riemannian Flow Matching on General Geometries
Ricky T. Q. Chen, Yaron Lipman
ICLR 2024. [Paper]
27 Feb 2023

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo, Sung Ju Hwang
ICML 2024. [Paper]

Graph Generation with Diffusion Mixture
Jaehyeong Jo, Dongki Kim, Sung Ju Hwang
ICML 2024. [Paper]

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, qiang liu
ICLR 2024. [Paper]

Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu
Arxiv 2024. [Paper]

Papers automatically discovered by awesome-flow-matching-autoupdate

Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin, Moksh Jain, Emmanuel Bengio, Chen Sun, Yoshua Bengio
arXiv (Cornell University) 2022. (cited: 12) [Paper]
Jan 2022

Stochastic Normalizing Flows
Liam Hodgkinson, Christopher van der Heide, Fred Roosta, Michael W. Mahoney
arXiv (Cornell University) 2020. (cited: 44) [Paper]
Feb 2020

Riemannian Continuous Normalizing Flows
Émile Mathieu, Maximilian Nickel
arXiv (Cornell University) 2020. (cited: 30) [Paper]
Jun 2020

Neural Manifold Ordinary Differential Equations
Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, et al.
arXiv (Cornell University) 2020. (cited: 26) [Paper]
Jun 2020

On the Guidance of Flow Matching
Ruiqi Feng, Tailin Wu, Chenglei Yu, Wenhao Deng, Peiyan Hu
International Conference on Machine Learning 2025. (cited: 18) [Paper]
Feb 2025

On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
Quentin Bertrand, Anne Gagneux, Mathurin Massias, R'emi Emonet
arXiv.org 2025. (cited: 19) [Paper]
Jun 2025

Variational Rectified Flow Matching
Pengsheng Guo, Alexander Schwing
International Conference on Machine Learning 2025. (cited: 12) [Paper]
Feb 2025

Flow Matching Guide and Code
Y. Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, et al.
arXiv.org 2024. (cited: 152) [Paper]
Dec 2024

An Introduction to Flow Matching and Diffusion Models
Peter Holderrieth, Ezra Erives
arXiv.org 2025. (cited: 12) [Paper]
Jun 2025

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Ruizhi Deng, B. Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
Neural Information Processing Systems 2020. (cited: 58) [Paper]
Feb 2020

Convergence of Continuous Normalizing Flows for Learning Probability Distributions
Yuan Gao, Jianxia Huang, Yuling Jiao, Shurong Zheng
arXiv.org 2024. (cited: 18) [Paper]
Apr 2024

Interpreting diffusion score matching using normalizing flow
Wenbo Gong, Yingzhen Li
arXiv.org 2021. (cited: 13) [Paper]
Jul 2021

Edit Flows: Flow Matching with Edit Operations
Marton Havasi, Brian Karrer, Itai Gat, Ricky T. Q. Chen
arXiv.org 2025. (cited: 20) [Paper]
Jun 2025

Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe, E. Gavves
International Conference on Learning Representations 2020. (cited: 49) [Paper]
Jun 2020

Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows
Derek Onken, Lars Ruthotto
arXiv (Cornell University) 2020. (cited: 27) [Paper]
May 2020

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto
Proceedings of the AAAI Conference on Artificial Intelligence 2020. (cited: 26) [Paper]
Jun 2020

Hypersolvers: Toward Fast Continuous-Depth Models
Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
arXiv (Cornell University) 2020. (cited: 18) [Paper]
Jul 2020

Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, et al.
arXiv.org 2025. (cited: 188) [Paper]
May 2025

CFG-Zero: Improved Classifier-Free Guidance for Flow Matching Models*
Weichen Fan, Amber Yijia Zheng, Raymond A. Yeh, Ziwei Liu
arXiv.org 2025. (cited: 20) [Paper]
Mar 2025

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, et al.
International Conference on Learning Representations 2025. (cited: 18) [Paper]
Feb 2025

Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matching
Feng Wang, Zihao Yu
arXiv.org 2025. (cited: 13) [Paper]
Sep 2025

Contrastive Flow Matching
George Stoica, Vivek Ramanujan, Xiang Fan, Ali Farhadi, Ranjay Krishna, et al.
arXiv.org 2025. (cited: 10) [Paper]
Jun 2025

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
Johannes Schusterbauer, Ming Gui, Frank Fundel, Bjorn Ommer
Computer Vision and Pattern Recognition 2025. (cited: 11) [Paper]
Jun 2025

Taming hyperparameter tuning in continuous normalizing flows using the JKO scheme
Alexander Vidal, Samy Wu Fung, Luis Tenorio, S. Osher, L. Nurbekyan
Scientific Reports 2022. (cited: 24) [Paper]
Nov 2022

Fast protein backbone generation with SE(3) flow matching
Jason Yim, Andrew M. Campbell, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, et al.
arXiv (Cornell University) 2023. (cited: 20) [Paper]
Oct 2023

SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, et al.
arXiv (Cornell University) 2023. (cited: 14) [Paper]
Oct 2023

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
Erik Buhmann, Cedric Ewen, Darius A. Faroughy, T. Golling, Gregor Kasieczka, et al.
arXiv (Cornell University) 2023. (cited: 13) [Paper]
Oct 2023

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
Alexia Jolicoeur‐Martineau, Kilian Fatras, Tal Kachman
arXiv (Cornell University) 2023. (cited: 12) [Paper]
Sep 2023

Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
Jonas Spinner, Víctor Bresó, Pim de Haan, Tilman Plehn, Jesse Thaler, et al.
arXiv (Cornell University) 2024. (cited: 11) [Paper]
May 2024

CaloChallenge 2022: a community challenge for fast calorimeter simulation
Claudius Krause, M. Faucci Giannelli, Gregor Kasieczka, Neil Benjamin, D. Salamani, et al.
arXiv (Cornell University) 2024. (cited: 10) [Paper]
Oct 2024

Generation and application of sub-kilohertz oscillatory flows in microchannels
Giridar Vishwanathan, Gabriel Juarez
Microfluidics and Nanofluidics 2019. (cited: 21) [Paper]
Nov 2019

StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
Rameen Abdal, Peihao Zhu, Niloy J. Mitra, Peter Wonka
ACM Transactions on Graphics 2020. (cited: 376) [Paper]
Aug 2020

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular
n Dynamics
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
arXiv (Cornell University) 2020. (cited: 47) [Paper]
Feb 2020

Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
arXiv (Cornell University) 2021. (cited: 46) [Paper]
Jan 2021

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe, Tolga Birdal, Yongheng Zhao, Žan Gojčič, Srinath Sridhar, et al.
arXiv (Cornell University) 2020. (cited: 36) [Paper]
Aug 2020

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
Black Forest Labs, Stephen Batifol, A. Blattmann, Frederic Boesel, Saksham Consul, et al.
arXiv.org 2025. (cited: 368) [Paper]
Jun 2025

F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
Yushen Chen, Zhikang Niu, Ziyang Ma, Keqi Deng, Chunhui Wang, et al.
Annual Meeting of the Association for Computational Linguistics 2024. (cited: 285) [Paper]
Oct 2024

GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving
Zebin Xing, Xingyu Zhang, Yang Hu, Bo Jiang, Tong He, et al.
Computer Vision and Pattern Recognition 2025. (cited: 52) [Paper]
Mar 2025

FlowSE: Flow Matching-based Speech Enhancement
Seonggyu Lee, Sein Cheong, S. Han, Jong Won Shin
IEEE International Conference on Acoustics, Speech, and Signal Processing 2025. (cited: 17) [Paper]
Aug 2025

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
Yuxiang Fu, Qi Yan, Lele Wang, Ke Li, Renjie Liao
Computer Vision and Pattern Recognition 2025. (cited: 16) [Paper]
Mar 2025

Pyramidal Flow Matching for Efficient Video Generative Modeling
Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, et al.
International Conference on Learning Representations 2024. (cited: 215) [Paper]
Oct 2024

Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Q. Gu
International Conference on Learning Representations 2025. (cited: 24) [Paper]
Mar 2025

Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
Utkarsh Utkarsh, Pengfei Cai, Alan Edelman, Rafael Gómez-Bombarelli, Christopher Rackauckas
arXiv.org 2025. (cited: 15) [Paper]
Jun 2025

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
Tonghe Zhang, Chao Yu, Sichang Su, Yu Wang
arXiv.org 2025. (cited: 15) [Paper]
May 2025

Flow Matching Policy Gradients
David McAllister, Songwei Ge, Brent Yi, Chung Min Kim, Ethan Weber, et al.
arXiv.org 2025. (cited: 19) [Paper]
Jul 2025

La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, et al.
arXiv.org 2025. (cited: 18) [Paper]
Jul 2025

TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching
Wenxiang Guo, Yu Zhang, Changhao Pan, Rongjie Huang, Li Tang, et al.
AAAI Conference on Artificial Intelligence 2025. (cited: 16) [Paper]
Feb 2025

FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matching
Ziqian Wang, Zikai Liu, Xinfa Zhu, Yike Zhu, Mingshuai Liu, et al.
Interspeech 2025. (cited: 13) [Paper]
May 2025

ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
Han Zhu, Wei Kang, Zengwei Yao, Liyong Guo, Fangjun Kuang, et al.
arXiv.org 2025. (cited: 14) [Paper]
Jun 2025

Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
Dongyi Wang, Yuanwei Jiang, Zhenyi Zhang, Xiang Gu, Peijie Zhou, et al.
arXiv.org 2025. (cited: 14) [Paper]
May 2025

FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching
Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee
IEEE International Conference on Acoustics, Speech, and Signal Processing 2025. (cited: 10) [Paper]
Jan 2025

Multi-Objective-Guided Discrete Flow Matching for Controllable Biological Sequence Design
Tong Chen, Yinuo Zhang, Sophia Tang, Pranam Chatterjee
arXiv.org 2025. (cited: 14) [Paper]
May 2025

F5R-TTS: Improving Flow-Matching based Text-to-Speech with Group Relative Policy Optimization
Xiaohui Sun, Ruitong Xiao, Jianye Mo, Bowen Wu, Qun Yu, et al.
arXiv.org 2025. (cited: 14) [Paper]
Apr 2025

FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow Matching
Hui Wang, Shujie Liu, Lingwei Meng, Jinyu Li, Yifan Yang, et al.
ACM Multimedia 2025. (cited: 13) [Paper]
Feb 2025

Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation
G. Baldan, Qiang Liu, A. Guardone, Nils Thuerey
arXiv.org 2025. (cited: 12) [Paper]
Jun 2025

Efficient many-jet event generation with Flow Matching
E. Bothmann, Timo Janssen, M. Knobbe, Bernhard Schmitzer, Fabian H. Sinz
arXiv 2025. (cited: 10) [Paper]
Jun 2025

Generative Latent Neural PDE Solver using Flow Matching
Zijie Li, Anthony Zhou, A. Farimani
arXiv.org 2025. (cited: 13) [Paper]
Mar 2025

CellFlow: Simulating Cellular Morphology Changes via Flow Matching
Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, et al.
International Conference on Machine Learning 2025. (cited: 11) [Paper]
Feb 2025

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Yang Cao, Zhao Song, Chiwun Yang
arXiv.org 2025. (cited: 11) [Paper]
Feb 2025

FlowMM: Generating Materials with Riemannian Flow Matching
Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon Wood
International Conference on Machine Learning 2024. (cited: 82) [Paper]
Jun 2024

WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
Hyeongju Kim, Hyeongseung Lee, Woohyun Kang, Sung Jun Cheon, Byoung Jin Choi, et al.
arXiv.org 2020. (cited: 12) [Paper]
Jun 2020

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, et al.
Neural Information Processing Systems 2024. (cited: 16) [Paper]
May 2024

Continuous and Distribution-Free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
Honglin Wen, P. Pinson, Jinghuan Ma, Jie Gu, Zhijiang Jin
IEEE Transactions on Sustainable Energy 2022. (cited: 35) [Paper]
Jun 2022

IL-flOw: Imitation Learning from Observation using Normalizing Flows
Wei-Di Chang, J. A. G. Higuera, Scott Fujimoto, D. Meger, Gregory Dudek
arXiv.org 2022. (cited: 10) [Paper]
May 2022

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, et al.
arXiv.org 2025. (cited: 14) [Paper]
Jun 2025

This list is automatically generated and updated daily.

SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
Hyojun Go, Byeongjun Park, Jiho Jang, Jin-Young Kim, S. Joon Kwon, et al.
Computer Vision and Pattern Recognition 2024. (cited: 26) [Paper]
Nov 2024

Electron flow matching for generative reaction mechanism prediction
J. F. Joung, Mun Hong Fong, Nicholas Casetti, Jordan P. Liles, Ne S. Dassanayake, et al.
Nature 2025. (cited: 15) [Paper]
Feb 2025

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
M. Balcerak, Tamaz Amiranashvili, Suprosanna Shit, Antonio Terpin, Sebastian Kaltenbach, et al.
arXiv.org 2025. (cited: 14) [Paper]
Apr 2025

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
M. Yazdani, Yasamin Medghalchi, Pooria Ashrafian, I. Hacihaliloglu, Dena Shahriari
International Conference on Medical Image Computing and Computer-Assisted Intervention 2025. (cited: 13) [Paper]
Mar 2025

HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation
Yuxin Wen, Qing Shuai, Di Kang, Jing Li, Cheng Wen, et al.
arXiv.org 2025. (cited: 13) [Paper]
Dec 2025

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans
C. Wald, G. Steidl
arXiv.org 2025. (cited: 13) [Paper]
Jan 2025

GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping
Jing Wang, Jiajun Liang, Jie Liu, Henglin Liu, Gongye Liu, et al.
arXiv.org 2025. (cited: 13) [Paper]
Oct 2025

DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
Chenxi Xie, Ming-hui Li, Shuai Li, Yuhui Wu, Qiaosi Yi, et al.
arXiv.org 2025. (cited: 11) [Paper]
Jun 2025

MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
Can Zhao, Pengfei Guo, Dong Yang, Yucheng Tang, Yufan He, et al.
AAAI Conference on Artificial Intelligence 2025. (cited: 11) [Paper]
Aug 2025

This list is automatically generated and updated daily.

Towards Hierarchical Rectified Flow
Yichi Zhang, Yici Yan, Alex Schwing, Zhizhen Zhao
International Conference on Learning Representations 2025. (cited: 10) [Paper]
Feb 2025

Any-Order Flexible Length Masked Diffusion
Jaeyeon Kim, C. Lee, Carles Domingo-Enrich, Yilun Du, S. Kakade, et al.
arXiv.org 2025. (cited: 17) [Paper]
Sep 2025

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
Hanshu Yan, Xingchao Liu, Jiachun Pan, J. Liew, Qiang Liu, et al.
Neural Information Processing Systems 2024. (cited: 78) [Paper]
May 2024

Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li
International Conference on Learning Representations 2024. (cited: 48) [Paper]
Oct 2024

FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang
International Conference on Machine Learning 2024. (cited: 40) [Paper]
Dec 2024

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
Yuanzhi Zhu, Xingchao Liu, Qiang Liu
European Conference on Computer Vision 2024. (cited: 24) [Paper]
Jul 2024

Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
Jaihoon Kim, Taehoon Yoon, Jisung Hwang, Minhyuk Sung
arXiv.org 2025. (cited: 20) [Paper]
Mar 2025

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
arXiv.org 2024. (cited: 120) [Paper]
Sep 2024

TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
Computer Vision and Pattern Recognition 2022. (cited: 10) [Paper]
Mar 2022

TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
Yangguang Li, Zi-Xin Zou, Zexiang Liu, Dehu Wang, Yuan Liang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence 2025. (cited: 88) [Paper]
Feb 2025

Taming Rectified Flow for Inversion and Editing
Jiangshan Wang, Junfu Pu, Zhongang Qi, Jiayi Guo, Yue Ma, et al.
International Conference on Machine Learning 2024. (cited: 114) [Paper]
Nov 2024

JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Yiyang Ma, Xingchao Liu, Xiaokang Chen, Wen Liu, Chengyue Wu, et al.
Computer Vision and Pattern Recognition 2024. (cited: 86) [Paper]
Nov 2024

Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
Yongqi Wang, Wenxiang Guo, Rongjie Huang, Jia-Bin Huang, Zehan Wang, et al.
Neural Information Processing Systems 2024. (cited: 46) [Paper]
Jun 2024

FlowIE: Efficient Image Enhancement via Rectified Flow
Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, et al.
Computer Vision and Pattern Recognition 2024. (cited: 31) [Paper]
Jun 2024

FlowSep: Language-Queried Sound Separation with Rectified Flow Matching
Yiitan Yuan, Xubo Liu, Haohe Liu, Mark D. Plumbley, Wenwu Wang
IEEE International Conference on Acoustics, Speech, and Signal Processing 2024. (cited: 25) [Paper]
Sep 2024

Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Guy Ohayon, T. Michaeli, Michael Elad
International Conference on Learning Representations 2024. (cited: 23) [Paper]
Oct 2024

EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
Daiheng Gao, Shilin Lu, Shaw Walters, Wenbo Zhou, Jiaming Chu, et al.
arXiv.org 2024. (cited: 48) [Paper]
Dec 2024

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang
arXiv.org 2024. (cited: 21) [Paper]
Dec 2024

Text-to-Image Rectified Flow as Plug-and-Play Priors
Xiaofeng Yang, Cheng Chen, Xulei Yang, Fayao Liu, Guosheng Lin
International Conference on Learning Representations 2024. (cited: 23) [Paper]
Jun 2024

Don't Start From Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh
Robotics: Science and Systems 2024. (cited: 19) [Paper]
Feb 2024

Multimarginal generative modeling with stochastic interpolants
M. S. Albergo, N. Boffi, Michael Lindsey, Eric Vanden-Eijnden
International Conference on Learning Representations 2023. (cited: 15) [Paper]
Oct 2023

Lattice-based kernel approximation and serendipitous weights for parametric PDEs in very high dimensions
V. Kaarnioja, F. Kuo, I. Sloan
arXiv.org 2023. (cited: 13) [Paper]
Mar 2023

Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Narain Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, et al.
International Conference on Learning Representations 2020. (cited: 9085) [Paper]
Nov 2020

This list is automatically generated and updated daily.