Flow-Based Generative Modeling

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Momentum

66 papers in the last four weeks, up 288% on the four weeks before. 0.7% of all new papers.

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  1. FlowC2S: Flowing from Current to Succeeding Frames for Fast and Memory-Efficient Video Continuation

    Apr 19, 2026Hovhannes Margaryan, Quentin Bammey, Christian SandorFlow MatchingText-to-Video Generation

    Team ARAI, Universit´e Paris-Saclay, CNRS, LISN, France · LTCI, T´el´ecom Paris, Institut Polytechnique de Paris, France

  2. The Amazing Stability of Flow Matching

    Apr 17, 2026Rania Briq, Michael Kamp, Ohad Fried +2Flow MatchingGenerative Modeling

    Forschungszentrum Jülich · TU Dortmund · Lamarr Institute +4

  3. Frequency-Aware Flow Matching for High-Quality Image Generation

    Apr 16, 2026Sucheng Ren, Qihang Yu, Ju He +3Flow MatchingConditional Image Generation

    Johns Hopkins University · ByteDance

  4. 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

  5. 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

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

    Apr 16, 2026Aihua LiNon-Autoregressive Text GenerationFlow Matching

    Duke University

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

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

    KAIST

  8. Generative Inverse Design with Abstention via Diagonal Flow Matching

    Mar 16, 2026Miguel de Campos, Werner Krebs, Hanno GottschalkFlow MatchingUncertainty Quantification

    Institute of Mathematics, TU Berlin · Siemens Energy

  9. Generalization and Memorization in Rectified Flow

    Mar 12, 2026Mingxing Rao, Daniel MoyerRectified FlowMembership Inference Attacks

    Vanderbilt University, Nashville TN 37235, USA

  10. Training Flow Matching: The Role of Weighting and Parameterization

    Mar 6, 2026Anne Gagneux, Ségolène Martin, Rémi Gribonval +1Flow MatchingAdaptive Loss Weighting

    ENS de Lyon, CNRS, Universit´e Claude Bernard Lyon 1, Inria, LIP, UMR 5668, France · Technische Universität Berlin, Germany · Inria, ENS de Lyon, CNRS, Universit´e Claude Bernard Lyon 1, LIP, UMR 5668, France

  11. Entropy-Controlled Flow Matching

    Feb 25, 2026Chika MaduabuchiFlow MatchingFlow-Based Generative Modeling

    William & Mary, Williamsburg, VA, USA

  12. Momentum Guidance: Plug-and-Play Guidance for Flow Models

    Feb 23, 2026Runlong Liao, Jian Yu, Baiyu Su +3Momentum MethodsDiffusion Guidance

    The University of Texas at Austin, Austin, TX 78712, USA

  13. Native Extrapolation Awareness in Flow-Based Conditional Generation

    Feb 13, 2026Constantinos Tsakonas, Serena Ivaldi, Jean-Baptiste MouretFlow MatchingFlow-Based Generative Modeling

    Inria, Université de Lorraine, CNRS, Loria Nancy, France

  14. FAIL: Flow Matching Adversarial Imitation Learning for Image Generation

    Feb 12, 2026Yeyao Ma, Chen Li, Xiaosong Zhang +2Flow MatchingConditional Image Generation

    Shanghai Jiao Tong University · Xi’an Jiaotong University · Tencent

  15. Dual-End Consistency Model

    Feb 11, 2026Linwei Dong, Ruoyu Guo, Ge Bai +3One-Step Generative ModelingConsistency Distillation

    1Zhejiang University · 2Bytedance Inc. · 3Zhejiang Lab

  16. Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders

    Feb 10, 2026Amandeep Kumar, Vishal M. PatelFlow MatchingDiffusion Transformer

    Johns Hopkins University

  17. Trajectory Stitching for Solving Inverse Problems with Flow-Based Models

    Feb 9, 2026Alexander Denker, Zeljko Kereta, Carola-Bibiane Schönlieb +1Generative Flow NetworksFlow-Based Generative Modeling

    Department of Computer Science, University College London · Department of Applied Mathematics and Theoretical Physics, University of Cambridge.

  18. From Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows

    Feb 6, 2026Daniel Galperin, Ullrich KötheUnsupervised LearningDisentangled Representation Learning

    Heidelberg University

  19. Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO

    Feb 6, 2026Yunze Tong, Mushui Liu, Canyu Zhao +7Flow MatchingTemporal Credit Assignment

    1Zhejiang University, Hangzhou, China · 2Taobao & Tmall Group of Alibaba, Hangzhou, China · 3Tsinghua University, Beijing, China

  20. Stable Velocity: A Variance Perspective on Flow Matching

    Feb 5, 2026Donglin Yang, Yongxing Zhang, Xin Yu +5Flow MatchingImage Generation

    University of Hong Kong, Hong Kong · University of British Columbia, Canada · Vector Institute for AI, Toronto, Canada +2

  21. Variational Bayesian Flow Network for Graph Generation

    Jan 30, 2026Yida Xiong, Jiameng Chen, Xiuwen Gong +3Graph GenerationMolecular Graph Generation

    School of Computer Science, Wuhan University, Wuhan, China · Department of Computing, Macquarie University, Sydney, Australia · Griffith University, Gold Coast, Australia +1

  22. Order-Optimal Sample Complexity of Rectified Flows

    Jan 28, 2026Hari Krishna Sahoo, Mudit Gaur, Vaneet AggarwalRectified FlowFlow-Based Generative Modeling

    Purdue University

  23. Score-Regularized Joint Sampling with Importance Weights for Flow Matching

    Nov 21, 2025Xinshuang Liu, Runfa Blark Li, Shaoxiu Wei +1Flow MatchingImportance Sampling

    University of California, San Diego · San Diego, CA, USA

  24. PitchFlower: A flow-based neural audio codec with pitch controllability

    Oct 29, 2025Diego Torres, Axel Roebel, Nicolas ObinNeural Audio CodecsControllable Speech Generation

    STMS Lab IRCAM - CNRS - Sorbonne Universit´e Paris, France

  25. Transport-Coupled Bayesian Flows for Molecular Graph Generation

    Oct 11, 2025Yida Xiong, Jiameng Chen, Kun Li +4Molecular Graph GenerationMolecular Generation

    School of Computer Science, Wuhan University, Wuhan, China · Wuhan University Shenzhen Research Institute, Shenzhen, China

  26. Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation

    Oct 6, 2025Johanna Sommer, John Rachwan, Nils Fleischmann +2Flow MatchingEfficient Inference

    Pruna AI · Technical University of Munich, Germany

  27. Normalizing Flows are Capable Models for Continuous Control

    May 29, 2025Raj Ghugare, Benjamin EysenbachNormalizing FlowsReinforcement Learning

    Department of Computer Science Princeton University

  28. Local Flow Matching Generative Models

    Oct 3, 2024Chen Xu, Xiuyuan Cheng, Yao XieFlow MatchingGenerative Modeling

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. · Department of Mathematics, Duke University

  29. Robustness and Structure Preservation in Flow-Based Generative Models via Wasserstein Path-Space Divergences

    Oct 2, 2024Ziyu Chen, Markos A. Katsoulakis, Benjamin J. ZhangFlow MatchingEquivariant Neural Networks

    Department of Mathematics and School of Data and Information Sciences, University of North Carolina at Chapel Hill · Department of Mathematics and Statistics, University of Massachusetts Amherst · Department of Mathematics, Rutgers University–New Brunswick

  30. Expected flow networks in stochastic environments and two-player zero-sum games

    Oct 4, 2023Marco Jiralerspong, Bilun Sun, Danilo Vucetic +4Game-Playing AgentsZero-Sum Games

    Mila – Qu´ebec AI Institute, Universit´e de Montr´eal

  31. Prediction--Loss Alignment for Sampler--Robust Flow Matching Training

    Date pendingJiadong Hong, Lei Liu, Xinyu Bian +2Flow MatchingDiffusion Sampling

    Zhejiang University, Hangzhou, China · Huawei Technologies Co., Ltd, Hong Kong