Flow-Based Generative Modeling

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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. When Riemann flows with Wasserstein: Generative Modeling of Probability Distributions on Manifolds

    Sep 22, 2026Doron Haviv, Edward De Brouwer, Rishabh Anand +4Riemannian Flow MatchingGenerative Modeling

    Genentech Inc., South San Francisco, CA. · Yale University, New Haven, CT.

  2. Corrective Forcing: Unified Post-Training for Diffusions and Flows in Generative Speech Enhancement

    Sep 21, 2026Qing Yao, Lijian Gao, Qirong MaoDiffusion Model Fine-TuningSpeech Enhancement

    School of Computer Science and Communication Engineering, Jiangsu University Jiangsu Engineering Research Center of Big Data Ubiquitous Perception and Intelligent Agriculture Applications Provincial Key Laboratory of Computational Intelligence and New Technologies in Low-Altitude Digital Agriculture Zhenjiang, China

  3. Classifier-Free Guidance in Flow Matching: Non-Autonomous Potentials, Overshoot, and Posterior-Mean Control

    Sep 21, 2026Jishen Peng, Zheng MaFlow MatchingClassifier-Free Guidance

    School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University, Shanghai, China · Qing Yuan Research Institute, Shanghai Jiao Tong University, Shanghai, China +1

  4. Stochastic Flow Map for Count Data

    Sep 20, 2026Ganchao WeiSynthetic Data GenerationOne-Step Generative Modeling

    Flatiron Institute New York, NY 10010, USA

  5. λλ-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource

    Sep 18, 2026Yufeng Wang, Parivesh Priye, Meeshawn Marathe +1Flow MatchingT2I Generation

    Stony Brook University · Georgia Institute of Technology · Rivian and Volkswagen Group Technologies

  6. FlowSGS: Improving Flow Matching Priors for Inverse Imaging with Stochastic Interpolants

    Sep 17, 2026Tianao Li, Xinhui Qian, Emma AlexanderFlow MatchingMarkov Chain Monte Carlo

    Department of Computer Science, Northwestern University · NSF-Simons AI Institute for the Sky (SkAI) · Department of Statistics and Data Science, Northwestern University

  7. How to Guide Your Language Flow

    Sep 16, 2026Rohit Dilip, Tianrong Chen, Yuyang Wang +3Flow MatchingDiffusion Model Guidance

    Apple · Caltech

  8. Beyond Random Couplings: Contrastive Noise Alignment in Generative Flows

    Sep 16, 2026Lennart Wittke, Vinicius AzevedoFlow MatchingCross-Modal Alignment

    ETH Zürich · Disney Research | Studios

  9. Same Flow, Different Paths: Variance Reduction in Flow Matching

    Sep 15, 2026Alexander TyurinFlow MatchingStochastic Optimization Convergence

    AXXX, Moscow, Russia · Applied AI Institute, Moscow, Russia

  10. FlowATC: Aircraft Trajectory Prediction via Flow Matching

    Sep 15, 2026Mathurin Petit, Emir Torun, Louis Brusset +2Flow MatchingAir Traffic Management

    École Polytechnique, Palaiseau, 91128, France · Technische Universität Berlin, Berlin, 10623, Germany · Mines Paris–PSL University, Paris, 75006, France +2

  11. Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning

    Sep 14, 2026Sophia Tang, Shiyi WangOne-Step Generative ModelingFlow-Based Generative Modeling

    University of Pennsylvania · Harvard University · Kempner Institute +1

  12. Branched Optimal Transport Amortization

    Sep 14, 2026Semyon Semenov, Viktor Kovalchuk, Meir Roketlishvili +4Flow MatchingGenerative Modeling

    MBZUAI

  13. CyFM: Cylindrical Optimal Transport for Few-Step Complex-Valued Flow Matching

    Sep 12, 2026Marcel Musiałek, Iga Wolanin, Damian Ryczko +2Flow MatchingOne-Step Generative Modeling

    Wrocław University of Science and Technology Wrocław, Poland

  14. Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport

    Sep 12, 2026Luyi Jia, Boyan Zhang, Yilun Liu +1Flow MatchingDiffusion Timestep Scheduling

    Arnold-Sommerfeld-Center for Theoretical Physics, Ludwig-Maximilians-Universität München, Munich, Germany · Institute of Informatics, Ludwig-Maximilians-Universität München, Munich, Germany · Munich Center for Machine Learning, Munich, Germany

  15. Particle GFlowNets: Rethinking Generative Marginalization Models

    Sep 11, 2026Tiago da Silva, Diego Mesquita, Salem LahlouMarkov Chain Monte CarloGenerative Flow Networks

    MBZUAI · School of Applied Mathematics, Getulio Vargas Foundation

  16. Flow Duality and Source Geometry for Categorical Generation

    Sep 11, 2026Etrit HaxholliFlow MatchingFlow-Based Generative Modeling

  17. FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models

    Sep 9, 2026Yansen Han, Shengyi Liao, Peng Sun +4Pairwise Preference LearningFlow Matching

    Westlake University · Zhejiang University · Kling Team, Kuaishou Technology

  18. uFlowCSP: Crystal Structure Prediction using Mean flow generative models

    Sep 9, 2026Sourin Dey, Dipannoy Das Gupta, Lai Wei +2Crystal Structure PredictionOne-Step Generative Modeling

    Department of Computer Science and Engineering University of South Carolina Columbia, SC 29201 · Department of Computer Science and Cybersecurity University of North Georgia Columbia, SC 29201

  19. Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation

    Sep 8, 2026Qi Feng, Rongjie Lai, Di Qi +1Normalizing FlowsMolecular Generation

    Department of Mathematics, Florida State University, Tallahassee, FL 32306 · Department of Mathematics, Purdue University, West Lafayette, IN 47907

  20. Fixed-Dimensional Latent Flow for Generating Variable-Size 3D Molecules

    Sep 8, 2026Weichi Yao, Cameron Gruich, Bryan R. Goldsmith +13D Molecular GenerationMolecular Generation

    Michigan Institute for Data & AI in Society University of Michigan, Ann Arbor, USA · Department of Chemical Engineering University of Michigan, Ann Arbor, USA · Department of Statistics University of Michigan, Ann Arbor, USA

  21. FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow

    Sep 3, 2026Byeongjun Park, Byung-Hoon Kim, Hyungjin ChungFlow MatchingCamera-Controlled Video Generation

    EverEx · Yonsei University · Korea University

  22. Beyond Straightness: Non-Crossing Flow Matching via Quantile AlignTree Coupling

    Sep 3, 2026Junyi Lin, Mengyu Li, Jingxuan Hu +2Flow MatchingFlow-Based Generative Modeling

    Institute of Statistics and Big Data, Renmin University of China, Beijing, China · Department of Statistics and Data Science, Tsinghua University, Beijing, China

  23. Generative Nested Sampling of Atomistic Thermodynamic Landscapes

    Sep 2, 2026Alessandro Coretti, Nico Unglert, Sebastian Falkner +2Normalizing FlowsFlow-Based Generative Modeling

    Institute of Materials Chemistry, TU Wien, 1060 Vienna, Austria · Institute of Physics, University of Augsburg, 86159 Augsburg, Germany

  24. CAT-Flow: Curvature-Adaptive sTeps for Flow Matching

    Sep 1, 2026Qinchan Li, Pedro Cisneros-Velarde, Keru Fu +3Flow MatchingT2I Generation

    Simon Fraser University · VMware Research

  25. Conditional Flow Matching for ML-Based Inverse Design Problems

    Sep 1, 2026Juliana Felder, Milad Habibi, Soheyl Massoudi +1Conditional Flow MatchingConstrained Optimization

    ETH Zürich · University of Maryland, College Park

  26. A Lagrangian View of Flow Matching

    Aug 31, 2026Peyman MilanfarFlow MatchingRectified Flow

    1Google

  27. Decoupled Latent Flow Matching for Few-Step Joint Vocal-Accompaniment Separation

    Aug 31, 2026Lishi Zuo, Youzhi Tu, Lu Yi +4Flow MatchingFlow-Based Generative Modeling

    Dept. of Electrical and Electronic Engineering, Hong Kong Polytechnic University, Hong Kong SAR, China

  28. Tracing Generated Samples to Training-Data Clusters in Flow-Matching Models

    Aug 30, 2026Rania Briq, Ohad Fried, Michael Kamp +1Flow MatchingFlow-Based Generative Modeling

    Forschungszentrum Jülich · Technical University Dortmund · Reichman University +4

  29. Flow-JEPA: Robust Latent Dynamics for JEPA World Models via Flow Matching

    Aug 29, 2026Yanchen Huo, Ziying Song, Yadan LuoFlow MatchingLatent Dynamics Modeling

    Nanyang Technological University · The University of Queensland

  30. FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching

    Aug 13, 2026Zhuohan Wang, Andreea Bacalum, Ollie Olby +2Flow MatchingFlow-Based Generative Modeling

    Joint affiliation with King’s College London · Simudyne United Kingdom · King’s College London United Kingdom

  31. XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling

    Aug 12, 2026Jinxiu Liu, Xuanming Liu, Kangfu Mei +2Flow MatchingAutoregressive Image Generation

    1CUHK · 2Westlake University · 3Johns Hopkins University

  32. GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors

    Aug 12, 2026Jiazheng Liu, Hang Li, Jiawei Zhang +5Few-Step Diffusion SamplingVideo Generation

    School of Computer Science and Engineering, Beihang University · Macquarie University · Tianyi Transportation Technology Co., Ltd, Suzhou 215133, China +3

  33. Unifying Generative Models with Path Integrals

    Aug 12, 2026Ramon WinterhalderGenerative ModelingFlow-Based Generative Modeling

    TIFLab, Dipartimento di Fisica, Università degli Studi di Milano · and INFN, Sezione di Milano, Via Celoria 16, I-20133 Milano, Italy

  34. NAE: Normalizing AutoEncoder

    Aug 12, 2026Muhammad Abdur Rafae, Niels LandwehrNormalizing FlowsAutoencoders

    University of Hildeshiem

  35. Making Every Step Count: Spatio-Temporal Information Allocation for Imaging Inverse Problems

    Aug 12, 2026Yi Cao, Xiangyong Cao, Pei Liu +2Inference-Time OptimizationImage Restoration

    Xi’an Jiaotong University · Tsinghua University

  36. You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flows

    Aug 10, 2026Jonas Leo Mueller, Sebastian Hoefler, Dario Zanca +3Normalizing FlowsMillimeter-Wave Radar

    Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Chair of AI-supported Therapy Decisions, LMU München +1

  37. DreOPD: Degraded-Reference Extrapolative On-Policy Distillation for Flow-matching Models

    Aug 10, 2026Mingfeng Lin, Chengfei Cai, Lin Xu +2Flow MatchingRL for Image Generation

    Harbin Institute of Technology (Shenzhen) · Zhejiang University · Harbin Institute of Technology

  38. Limit Points of Reflow with Minibatch Optimal Transport

    Aug 7, 2026Antonin Chambolle, Johannes HertrichRectified FlowFlow-Based Generative Modeling

    Université Paris Dauphine - PSL & Inria · ENS Paris

  39. Energy-Guided Flow Matching

    Aug 6, 2026Haoyang Tong, Yu He, Fang Li +6Flow MatchingConditional Image Generation

    MAIS & NLPR, CASIA · JD.com · Xi'an Jiaotong University +1

  40. LC-GRPO: Bridging Train-Inference Gap for Flow-Based GRPO with Langevin Correction

    Aug 6, 2026Yingqing Guo, Hui Yuan, Zijian He +2RL for Video GenerationRL for Image Generation

  41. Hierarchical Flow Matching for 3D Point Cloud Generation

    Aug 6, 2026Linhao Wang, Qichang Zhang, Ye Su +1Flow Matching3D Shape Generation

    Shandong Normal University · University of Macau

  42. Rethinking Pixel Mean Flows via Interval Denoiser

    Aug 5, 2026Alexander Zaytsev, Dmitry Baranchuk, Alexander Korotin +1Flow MatchingImage Generation

    HSE University · Yandex Research · Applied AI Institute +2

  43. Beckmann Transport Models: From Autonomous Flows to One-Step Maps

    Aug 3, 2026Lee Cheuk-Kit, Florentin Coeurdoux, Yuyuan Chen +5Flow MatchingOne-Step Generative Modeling

    1Harvard University · 2Capital Fund Management · University of Pennsylvania +2

  44. One-Sided Quantile Coupling for Flow Matching

    Aug 2, 2026Jin-Young Kim, So-Yoon Cho, Hyun-Gyoon KimFlow MatchingImage Generation

    Independent Researcher · Division of Finance & AI, Hankuk University of Foreign Studies · Dept. of Financial Engineering, Ajou University

  45. FBFM: A Training-Free Asynchronous Feedback Mechanism for Flow-Matching in World-Action Models Execution

    Jul 31, 2026Peize Li, Ruimeng Zhang, Ru Zhang +3Flow MatchingWorld Models for Robotics

    DeepCybo · Zhongguancun Academy · Zhongguancun Institute of Artificial Intelligence +3

  46. MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation

    Jul 31, 2026Yifei Zhu, Mingyi Shi, Yangyang Cai +3Self-Supervised LearningText-to-Motion Generation

    1Tohoku University, Sendai, Japan · 2The University of Hong Kong, Hong Kong

  47. StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers

    Jul 31, 2026Xujun Che, Depeng Xu, Xintao WuDiffusion TransformerDifferentially Private Stochastic Gradient Descent

    Department of Cybersecurity, University of North Carolina at Charlotte, Charlotte, NC, USA · Department of Electrical Engineering and Computer Science, University of Arkansas, Fayetteville, AR, USA

  48. WaiT for the Signal: Simple Frequency-Aware Flow-Matching

    Jul 30, 2026Krunoslav Lehman Pavasovic, Théophane Vallaeys, Stéphane Mallat +4Flow MatchingImage Generation

    1FAIR, Meta · 2École Normale Supérieure, Paris · 3Sorbonne University, Paris

  49. The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure Detection

    Jul 30, 2026Ziyang Rao, Yiren Zhao, Weiyu Guo +3Flow MatchingUncertainty Estimation for VLA Models

    1HKUST(GZ) 2HKUST 3CUHK 4AI² Roboticss

  50. Latent-Kernel Discrete Flow Maps for Few-Step Generation

    Jul 29, 2026Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1Latent Variable ModelsFew-Step Diffusion Sampling

    Georgia State University, Atlanta, GA, USA · Georgia Institute of Technology, Atlanta, GA, USA

  51. SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups

    Jul 29, 2026Yikun Bai, Binghang Lu, Yikai Liu +7Flow MatchingLie Group Methods

    Department of Mathematics, Purdue University · School of Electrical and Computer Engineering, Purdue University · Department of Biochemistry, Purdue University +5

  52. Flow Map Learning via Nongradient Vector Flow

    Jul 29, 2026Mark Goldstein, Anshuk Uppal, Raghav Singhal +2Diffusion SamplingFlow Map Learning

    Center for Computational Mathematics, Flatiron Institute. · Department of Applied Mathematics and Computer Science, Technical University of Denmark. · Courant Institute, New York University.

  53. Noise-Robust Conditional Flow Matching: Generating Clean Samples from Noisy Datasets

    Jul 28, 2026Adrian Urbański, Gabriel della Maggiora, Artur YakimovichFlow MatchingImage Generation

    Center for Advanced Systems Understanding (CASUS), Görlitz, Germany · Helmholtz-Zentrum Dresden-Rossendorf e. V. (HZDR), Dresden, Germany · Institute of Computer Science, University of Wrocław, Wrocław, Poland +2

  54. Meshy T2: Fast Native Mesh Generation with Flow Matching

    Jul 28, 2026Jiale Xu, Rendong Liang, Yuhao Long +5Variational Autoencoders3D Mesh Generation

    Meshy AI

  55. When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction

    Jul 27, 2026Tianpeng Li, Xuan Guo, Wenjun Wang +2Flow MatchingDistribution Shift

    College of New Media and Communication, Tianjin University · School of Artificial Intelligence, Tianjin University · School of Cyberspace Security,Hangzhou Dianzi University

  56. FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models

    Jul 27, 2026Kaiyang Ye, Yuan Ge, Junxiang Zhang +8T2I GenerationFlow-Based Generative Modeling

    Northeastern University · NiuTrans Research · Kunming University of Science and Technology

  57. Joint Flow Matching for Generator-Consistent Classification

    Jul 27, 2026Hayden McAlister, Lech SzymanskiFlow MatchingContinuous Normalizing Flows

    School of Computing University of Otago Dunedin, New Zealand

  58. All in One: Generative Modeling as Mean-Field Game Design

    Jul 25, 2026Kun Zhao, Xu ChenMean Field GamesGenerative Modeling

  59. Expanding Flow Maps

    Jul 23, 2026Sophia Tang, Pranam ChatterjeeFlow Map LearningGenerative Modeling

    Department of Computer and Information Science, University of Pennsylvania · Department of Bioengineering, University of Pennsylvania

  60. Context-weighted Discrete Flow Matching

    Jul 23, 2026Daniil Cherniavskii, Daniel Severo, Karen UllrichNon-Autoregressive Text GenerationAdaptive Loss Weighting

    University of Amsterdam · Work done during an internship at Meta FAIR. · Meta FAIR