Flow Matching

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Overview

Flow matching learns a velocity field that moves samples from a simple source, often Gaussian noise, toward a target data distribution. Conditional flow matching trains the field on paths between source and data samples, while optimal-transport couplings and rectified paths aim to make those trajectories easier to learn and integrate with an ordinary differential equation solver. Extensions handle discrete data, curved manifolds and symmetries, physical constraints, and applications from image and speech generation to robotics, scientific forecasting, and inverse problems. A central challenge is getting high fidelity and diverse, reliable samples with few solver steps; theory on convergence and stability is advancing, but the best paths, source distributions, and schedules depend on the task.

Latest papers

CardsList

663 papers123 papers in the last four weeks, up 68% on the four weeks before. 0.7% of all new papers.

  1. One-Shot Generative Flows: Existence and Obstructions

    Apr 16, 2026Panos Tsimpos, Daniel Sharp, Youssef MarzoukFlow MatchingOne-Step Generative Modeling

    Operations Research Center · Massachusetts Institute of Technology · Cambridge, MA 02139 +2

  2. LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories

    Apr 16, 2026Zhanhao Liang, Tao Yang, Jie Wu +2Diffusion Model AlignmentFlow Matching

    1The Australian National University · 2ByteDance Seed

  3. Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching

    Apr 16, 2026Aihua LiNon-Autoregressive Text GenerationFlow Matching

    Duke University

  4. PRiMeFlow: Capturing Complex Expression Heterogeneity in Perturbation Response Modelling

    Apr 15, 2026Zichao Yan, Yan Wu, Mica Xu Ji +10Single-Cell Perturbation ModelingSingle-Cell Transcriptomics

    Altos Labs · Current affiliation: Verge Genomics · Current affiliation: Loka +1

  5. EMGFlow: Robust and Efficient Surface Electromyography Synthesis via Flow Matching

    Apr 15, 2026Boxuan Jiang, Chenyun Dai, Can HanSynthetic Data AugmentationConditional Generative Modeling

    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

  6. Self-Adversarial One Step Generation via Condition Shifting

    Apr 14, 2026Deyuan Liu, Peng Sun, Yansen Han +3One-Step Generative ModelingT2I Diffusion Models

    Westlake University · Zhejiang University · Shanghai Innovation Institute +1

  7. SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation

    Apr 14, 2026Yexiong Lin, Jia Shi, Shanshan Ye +3Flow MatchingFlow-Based Generative Modeling

    Sydney AI Centre, The University of Sydney, Sydney, NSW, Australia · School of Artificial Intelligence, Xidian University, Xi’an, Shaanxi, China · Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia +1

  8. LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

    Apr 13, 2026Yuxin Chen, Chumeng Liang, Hangke Sui +4Self-ConditioningDiffusion Language Models

    UIUC

  9. LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching Inference

    Apr 13, 2026Guandong LiFlow MatchingFlow-Based Generative Modeling

    iFLYTEK

  10. NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity

    Apr 10, 2026Weijian Mai, Mu Nan, Yu Zhu +6Neural DecodingNeural Encoding

    Shanghai Artificial Intelligence Laboratory · University of Hong Kong · Shenzhen Loop Area Institute +2

  11. Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning

    Apr 10, 2026Zhiqiang Dong, Teng Pang, Rongjian Xu +1Offline RLHierarchical RL

    School of Software, Shandong University, Jinan, Shandong, China · Luke EI, Jinan, China

  12. Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation

    Apr 9, 2026Rongjian Xu, Teng Pang, Zhiqiang Dong +1Molecular Graph GenerationGenerative Modeling

    School of Software, Shandong University, Jinan, Shandong, China · School of Software, Shandong University, Jinan, Shandong, China; Luke EI, Jinan, China

  13. Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning

    Apr 9, 2026Teng Pang, Zhiqiang Dong, Yan Zhang +3Offline MARLCooperative MARL

    School of Software, Shandong University, Jinan, China · Luke EI, Jinan, China

  14. ODE-free Neural Flow Matching for One-Step Generative Modeling

    Apr 7, 2026Xiao ShouOne-Step Generative ModelingFlow Matching

    Baylor University

  15. Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space

    Apr 7, 2026Li Kunpeng, Wan Chenguang, Qu Zhisong +5Flow-Based Generative ModelingFlow Matching

  16. SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation

    Apr 7, 2026Wuyang Luan, Junhui Li, Weiguang Zhao +2Efficient VLA Model InferenceVision-Language-Action Models

    Jilin University · Chongqing University · University of Liverpool +1

  17. Attention-Guided Flow-Matching for Sparse 3D Geological Generation

    Apr 7, 2026Zhixiang Lu, Mengqi Han, Peixin Guo +4Flow-Based Generative ModelingFlow Matching

    Xi’an Jiaotong-Liverpool University, Jiangsu 215123, China · Deep Optica, Shanghai 200030, China · University of Chinese Academy of Sciences, Beijing 100049, China

  18. Training-Free Refinement of Flow Matching with Divergence-based Sampling

    Apr 6, 2026Yeonwoo Cha, Jaehoon Yoo, Semin Kim +3Flow MatchingT2I Generation

    KAIST

  19. Isokinetic Flow Matching for Pathwise Straightening of Generative Flows

    Apr 6, 2026Tauhid KhanFlow MatchingFlow-Based Generative Modeling

  20. Correcting Source Mismatch in Flow Matching with Radial-Angular Transport

    Apr 5, 2026Fouad Oubari, Mathilde MougeotFlow MatchingGenerative Modeling

    Université Paris-Saclay, CNRS, ENS Paris-Saclay, Centre Borelli · ENSIIE

  21. OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models

    Apr 5, 2026Liyu Zhang, Kehan Li, Tingrui Han +4RL for Generative ModelsOff-Policy RL

    College of Control Science and Engineering, Zhejiang University · Central Research Institute, Huawei

  22. TORA: Topological Representation Alignment for 3D Shape Assembly

    Apr 5, 2026Nahyuk Lee, Zhiang Chen, Marc Pollefeys +1Flow Matching3D Shape Generation

    Independent Researcher · ETH Zurich · ETH AI Center

  23. From Euler to Dormand-Prince: ODE Solvers for Flow Matching Generative Models

    Apr 4, 2026Hao XiaoNumerical IntegrationFlow Matching

    ATLAS AI Lab

  24. Physics-Constrained Adaptive Flow Matching for Climate Downscaling

    Apr 3, 2026Kevin Debeire, Aytaç Paçal, Pierre Gentine +3Climate DownscalingPhysics-Informed Generative Modeling

    Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany · School of Computation, Information and Technology, Technical University of Munich, Germany · LEAP Center, Columbia University, New York, NY, 10027, USA +1

  25. A Flow Matching Framework for Soft-Robot Inverse Dynamics

    Apr 3, 2026Hang Yang, Fangju Yang, Yangming Zhang +5Robot Dynamics LearningInverse Dynamics

  26. Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation

    Apr 3, 2026Jie Yang, Ziqi Ye, Aihua Ke +3Synthetic Data AugmentationMedical Image Synthesis

    Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China · Shanghai Innovation Institute, Shanghai, China · Shanghai AI Laboratory, Shanghai, China

  27. Beyond Fixed Inference: Quantitative Flow Matching for Adaptive Image Denoising

    Apr 2, 2026Jigang Duan, Genwei Ma, Xu Jiang +3Image DenoisingFlow Matching

    School of Mathematical Sciences, Capital Normal University, Beijing 100048, China · National Center for Applied Mathematics Beijing, Capital Normal University and Academy for multidisciplinary studies, Capital Normal University, Beijing, 100048, China · Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China

  28. SANA I2I: A Text Free Flow Matching Framework for Paired Image to Image Translation with a Case Study in Fetal MRI Artifact Reduction

    Mar 31, 2026Italo Felix Santos, Gilson Antonio Giraldi, Heron Werner JuniorImage-to-Image TranslationConditional Image Generation

    National Laboratory for Scientific Computing - LNCC · Biodesign Laboratory Dasa

  29. WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation

    Mar 31, 2026Amogh Joshi, Julian Ost, Felix Heide3D Scene Generation3D Scene Layout Generation

    Princeton University · Torc Robotics

  30. An Explicit Surrogate for Gaussian Mixture Flow Matching with Wasserstein Gap Bounds

    Mar 30, 2026Elham Rostami, Taous-Meriem Laleg-Kirati, Hamidou TembineFlow MatchingOptimal Transport

    Université Paris-Saclay, Inria, CIAMS, Gif-sur-Yvette, 91190, France · Department of Electrical Engineering and Computer Science, University of Quebec in Trois-Rivieres (UQTR), Quebec, Canada