Flow-Based Generative Modeling

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66 papers in the last four weeks, up 288% on the four weeks before. 0.6% of all new papers.

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  1. On the Diffusibility of High-Dimensional Latents

    Sep 23, 2026Chao Feng, Zhiyang Xu, Bowei Chen +7Flow MatchingLatent Diffusion Models

    Cornell University · Virginia Tech · University of Washington +2

  2. Frozen Flows Forget: Diagnosing and Restoring Lost Motion in a Latent-flow World Model

    Sep 23, 2026Xiwen Chen, Rigaudiere Z. Li, Zhiruo Zhou +2World Model LearningLatent Dynamics Modeling

    Shenzhen International Graduate School, Tsinghua University · Shanghai Jiaotong University · Wuhan University of Technology

  3. UNITE-AUDIO: Joint Learning of Continuous Tokenization and Latent Flow Matching for Text-to-Audio Generation

    Sep 23, 2026Runwu Shi, Kai Li, Yujin Wang +8Text-to-Audio GenerationAudio Representation Learning

    Institute of Science Tokyo · Tsinghua University · Wuhan University +2

  4. WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps

    Sep 22, 2026Abbas Mammadov, Jerry Y. Huang, Justin Lin +5Reinforcement LearningGenerative Flow Networks

    University of Oxford · Carnegie Mellon University

  5. Topology-Stratified Materials Discovery with A Flow-Based Generative Model

    Sep 22, 2026Jingyi Zhou, Oyshee Chowdhury, Noah Oyeniran +1Materials ScienceGenerative Modeling

    Department of Aerospace Engineering and Mechanics, University of Alabama, Tuscaloosa, 35487, Alabama, United States. · Alabama Materials Institute, The University of Alabama, Tuscaloosa, 35487, Alabama, United States.

  6. Gaussian Flow-Matching Schedules: Implications for Sampling and Training

    Sep 22, 2026Arsène Claustre, Hugo Negrel, Claire Boyer +2Flow MatchingDiffusion Sampling

    DI-ENS · CNRS, ENS Paris · DMA, CFM +6

  7. 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.

  8. 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

  9. 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

  10. Stochastic Flow Map for Count Data

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

    Flatiron Institute New York, NY 10010, USA

  11. 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

  12. 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

  13. How to Guide Your Language Flow

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

    Apple · Caltech

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

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

    ETH Zürich · Disney Research | Studios

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

    Sep 15, 2026Alexander TyurinFlow MatchingStochastic Optimization Convergence

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

  16. 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

  17. 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

  18. Branched Optimal Transport Amortization

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

    MBZUAI

  19. 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

  20. 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

  21. Flow Duality and Source Geometry for Categorical Generation

    Sep 11, 2026Etrit HaxholliFlow MatchingFlow-Based Generative Modeling

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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