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. Finsler Flow Matching: Dynamics-Aware Geodesic Interpolation for Single-Snapshot Trajectory Inference

    Oct 8, 2026Niklas Canova, Jonas Simon FleckFlow-Based Generative ModelingSingle-Cell Transcriptomics

    Institute of Human Biology (IHB), Roche, Basel, Switzerland

  2. Seq-Flow: Efficient Probabilistic Forecasting with Self-Rollout Error Control

    Oct 7, 2026Yinan Huang, Shitij Govil, Bo Dai +1Probabilistic ForecastingProbabilistic Time Series Forecasting

    Georgia Institute of Technology

  3. Unrolled Flow Models for Reasoning

    Oct 7, 2026Faissal Izermine, Hanru Bai, Oscar Davis +1Flow-Based Generative ModelingFlow Matching

    Max Planck Institute for Intelligent Systems · ELLIS Institute Tübingen · ETH Zurich +3

  4. MeshCarve: Artisan Mesh Generation with Flow Matching in Compact Latent Spaces

    Oct 7, 2026Xiyu Wang, Ruocheng Wu, Yufei Wang +33D Mesh GenerationFlow-Based Generative Modeling

    Nanyang Technological University · SparAI Inc. · University of Texas at Austin

  5. One Frame, Full Heartbeat: ECG-Free 4D Cardiac Cine MRI Synthesis via Radial-Decomposed Flow Matching

    Oct 6, 2026Shiyi Wang, Ruochen Sun, Xiang Li +2Medical Image SynthesisCardiac MRI

    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA · Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA · Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA

  6. 4D-HOF: Hand-Object Flow Matching for Feed-Forward 4D Interaction Reconstruction

    Oct 6, 2026Shiqi Li, Sean Cho, Yijie Li +3Physics-Informed Generative Modeling4D Reconstruction

    Texas A&M University · NVIDIA

  7. Sensor Geometry as a Flow-Matching Prior for Multi-Channel Brain Signals

    Oct 6, 2026Jaedong HwangElectroencephalographyTime Series Generation

    Massachusetts Institute of Technology

  8. Global Transport Couplings for Classifier-Free Guided Flows

    Oct 6, 2026Katarina Petrović, Zander W. Blasingame, Danyal Rehman +5Classifier-Free GuidanceConditional Image Generation

    AITHYRA · University of Oxford · Mila - Québec AI Institute +7

  9. Latent Flow Matching for Molecular Graph Generation

    Oct 5, 2026Mathis Goupillon, Roman Bresson, Konstantinos Divriotis +1Flow MatchingMolecular Graph Generation

    Mohamed bin Zayed University of Artificial Intelligence

  10. AnchorGen: Anchored Optimization for Customizable Generative 3D Design

    Oct 5, 2026Hantao Zhang, Oliver Heinimann, Jieke Wu +3Constrained Generative Modeling3D Shape Editing

    CVLab, EPFL, Switzerland

  11. MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting

    Oct 5, 2026Ilya Kuleshov, Egor Serov, Alexey ZaytsevMultivariate Time Series ForecastingConditional Flow Matching

    Applied AI Institute Moscow, Russia

  12. MEND: RL For Flow Models via Proximal Velocity Matching

    Oct 5, 2026Shreshth Saini, Neil Birkbeck, Yilin Wang +2Flow MatchingRL for Image Generation

    The University of Texas at Austin · Google · University of Colorado Boulder

  13. Beyond Transport Cost: Routing Differences between Flow Matching and Optimal Transport

    Oct 5, 2026Eungyeol Han, Jong-Seok LeeFlow MatchingFlow-Based Generative Modeling

    School of Integrated Technology, Yonsei University

  14. Bilinear Flow Policy: Distributional Extrapolation for Goal-Conditioned Visuomotor Imitation

    Oct 5, 2026Wonsuhk Jung, Sundhar Vinodh Sangeetha, Chen Xu +4OOD GeneralizationVisuomotor Policy Learning

    Georgia Institute of Technology · Toyota Research Institute · University of Washington

  15. Efficient Graph Generation via Direct Prediction and Flow Matching

    Oct 4, 2026Susie LuFlow MatchingGraph Generation

    MIT

  16. Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional Data

    Oct 2, 2026Saptarshi Chakraborty, Quentin Berthet, Peter L. BartlettFlow MatchingFlow-Based Generative Modeling

    Department of Statistics, University of Michigan · Google DeepMind · Department of Statistics, University of California, Berkeley +1

  17. Smoother Flow Matching via Contrastive Trajectory Repulsion

    Oct 1, 2026Ziqi Jiang, Zhenqi He, Long ChenFlow MatchingFlow-Based Generative Modeling

    Department of CSE, The Hong Kong University of Science and Technology

  18. Discrete Wasserstein Flows for One-Step Generative Modeling

    Oct 1, 2026Alessandro Micheli, Andrea Zerio, Samir BhattWasserstein Gradient FlowsOne-Step Generative Modeling

    Imperial College London London, United Kingdom · Department of Computer Science, Aalborg University, Copenhagen, Denmark; Centre for Frontier AI Research (CFAR), Institute of Advanced Intelligence and Computing (IAIC), A*STAR, Singapore · University of Copenhagen Copenhagen, Denmark

  19. ProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting

    Oct 1, 2026Shibo Feng, Wanjin Feng, Yang Qiu +3Multivariate Time Series ForecastingFlow Matching

    Nanyang Technological University · Tsinghua University · Shanghai Jiao Tong University

  20. Flow Matching Reinforcement for 3D Mesh Generation via Dynamic Homing Optimization

    Oct 1, 2026Zhen Zhou, Zhiwei Ning, Puhua Jiang +6Flow Matching3D Mesh Generation

    Tencent Hunyuan · Shanghai Jiao Tong University · Communication University of China

  21. Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

    Oct 1, 2026Yunrui Guan, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanFlow MatchingCausal Counterfactual Generation

    Department of Applied Mathematics and Statistics, Johns Hopkins University. · Amazon · Department of Statistics, University of California, Davis.

  22. Kinematic MeanFlow: One-Step Action Generation Policy for Robotic Foundation Models

    Oct 1, 2026Jiawei Fan, Sifeng Wang, Yuqing Hou +1Flow MatchingRobot Foundation Models

    Intel Labs China · Midea AI Research

  23. VTV-FM: Flow Matching through Variational Terminal-Velocity Closure

    Sep 30, 2026Haoyang Jiang, Yuheng Li, Di Yang +3Flow MatchingGenerative Modeling

    Department of Data Science, William & Mary Williamsburg, VA 23185, USA

  24. Gumbel Straight Flow: Distilling Autoregressive Models into One-step Flow Maps

    Sep 30, 2026Yeongmin Kim, Arnaud Doucet, Andrew Campbell +3Non-Autoregressive Text GenerationOne-Step Generative Modeling

    Google DeepMind · Work done as a Student Researcher at Google DeepMind Amsterdam

  25. Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces

    Sep 30, 2026Hongyuan Tao, Xinggang Wang, Lianghui Zhu +7Unified Multimodal ModelsMultimodal Pretraining

    Huazhong University of Science and Technology · Beijing Jiaotong University · Horizon Robotics

  26. PMosFM: Preconditioned Manifold Matching for One-Step Physics-Constrained Generation

    Sep 30, 2026Zhangyong Liang, Haibin LingConstrained Generative ModelingPhysics-Informed Generative Modeling

    Department of Artificial Intelligence Westlake University

  27. MeanVoiceFlow2: Joint Optimization of Mean Flow and Content Encoder for Fast One-Step Zero-Shot Voice Conversion

    Sep 30, 2026Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka +1Flow MatchingSpeech Processing

    NTT, Inc., Japan

  28. BAM! Bayesian Anything Model: a foundation model for generative computational imaging

    Sep 30, 2026Alessio Spagnoletti, Charlesquin Kemajou Mbakam, Jonathan Spence +2Physics-Informed Generative ModelingPhysics-Guided Image Restoration

    Laboratoire MAP5, UMR 8145, Université Paris Cité, CNRS · Heriot-Watt University, School of Mathematical and Computer Sciences & Maxwell Institute for Mathematical Sciences

  29. Correcting CondOT: Exact Finite-Step Sampling in Gaussian Flow Matching

    Sep 30, 2026Ron Levy, Michael EladFlow MatchingDiffusion Sampling

    Department of Computer Science Technion, Israel

  30. CAST: Causal Advantage-Structured Training with Spatially Grounded Compositional Rewards for Diffusion Models

    Sep 30, 2026Shu Yu, Chaochao LuDiffusion Model Fine-TuningCompositional T2I Generation

    Shanghai Artificial Intelligence Laboratory, Shanghai, China · Shanghai Innovation Institute, Shanghai, China · Fudan University, Shanghai, China

  31. Wavelet Flow Matching for Time Series

    Sep 30, 2026Lucas Poinsignon, Jorge da Silva Goncalves, Samuel Ruiperez-Campillo +1Flow MatchingTime Series Generation

    Dept. of Computer Science ETH Zurich, Switzerland

  32. RW-Flow: One-Step Generation on Compact Manifolds via Wasserstein Gradient Flows

    Sep 30, 2026Ualibyek Nurgulan, Seungwoo Yoo, Prin Phunyaphibarn +1Wasserstein Gradient FlowsOne-Step Generative Modeling

    KAIST

  33. Steepest Guidance: A Practical and Principled Approach to Inference-Time Alignment of Flow and Diffusion-based Models

    Sep 30, 2026Shokichi Takakura, Akifumi Wachi, Rei Higuchi +2Diffusion Model AlignmentInference-Time Optimization

    LY Corporation · The University of Tokyo · RIKEN AIP

  34. Flow Matching under Noisy Latent Structure: Beyond Exact Low-Dimensional Support

    Sep 30, 2026Lifeng Hao, Shaolin JiFlow MatchingFlow-Based Generative Modeling

    Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan 250100, Shandong, China.

  35. Acceleration of Diffusion Language Model through Discrete Average Generator

    Sep 29, 2026Yidong Ouyang, Zhengyan Wan, Themis Haris +8Few-Step Diffusion SamplingDiffusion Language Model Inference

    University of California, Los Angeles · Google · Work done as a research intern at Google

  36. Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks

    Sep 29, 2026Sumit Asthana, Michael Ion, Kevyn Collins ThompsonGenerative Flow NetworksFlow-Based Generative Modeling

    University of Michigan Ann Arbor, MI, USA

  37. Multi-Agent Flow Matching with Decoupled Generative Guidance

    Sep 29, 2026Ruoyu Lin, Magnus Egerstedt, Fabio PasqualettiConstrained Generative ModelingFlow Matching

    Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA 92697 USA · University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA

  38. FlowMap-OPD: Rollout--Kernel Separation for On-Policy Distillation of Few-Step Flow-Map Generators

    Sep 29, 2026Zhiqi Li, Bo ZhuGenerative Flow NetworksFlow Map Learning

    Georgia Institute of Technology

  39. MeanFlowAdvantage: Stable Reward Fine-Tuning for Few-Step Average-Velocity Generators

    Sep 29, 2026Haocheng Tang, Tianchi Xie, Xingqiao LinFlow MatchingMeanFlow

    Northeastern University Boston, MA 02115, USA · Tsinghua University Beijing, 100084, PRC · Carnegie Mellon University Pittsburgh, PA 15213, USA

  40. TaoFlowForge: Progressive Native Mesh Generation via Cascaded Flow Matching

    Sep 29, 2026Xianze Fang, Qiyuan Feng, Dongfang Sun +63D Foundation Models3D Mesh Generation

    Taobao3D Team, Alibaba Group

  41. PE-OPSD: Internalizing Prompt Enhancement into Flow-matching Models via On-Policy Self-Distillation

    Sep 29, 2026Mingfeng Lin, Chengfei Cai, Lin Xu +3On-Policy Self-DistillationT2I Generation

    Harbin Institute of Technology (Shenzhen) · Zhejiang University · Peking University +1

  42. Distill Locally, Schedule Globally: Flow Maps for Few-Step Text-to-Speech

    Sep 28, 2026Yentl Collin, Evan Dufraisse, Amr Mohamed +3Flow MatchingTTS Synthesis

    Institute of Foundation Models (IFM), MBZUAI

  43. One Proposal for Every Margin: Zero-Shot Amortized Sequential Importance Sampling for Binary Matrices

    Sep 28, 2026Ruishuo Chen, Weijia Li, Xun Wang +3Importance SamplingGenerative Flow Networks

    Institute for Interdisciplinary Information Sciences, Tsinghua University · Department of Statistics and Data Science, Tsinghua University

  44. Manifold-Stable Flow Matching

    Sep 28, 2026Amirhossein Nazerian, Ali Pezeshki, Jianguo ZhaoConstrained Generative ModelingFlow Matching

    Department of Mechanical Engineering Colorado State University Fort Collins, CO 80523, USA · Department of Electrical and Computer Engineering Colorado State University Fort Collins, CO 80523, USA

  45. Probabilistic Geodesic Flow Matching on Location-Scale Families

    Sep 28, 2026Zeyuan Yu, Zhi Chang, Shiwei LanFlow MatchingGenerative Modeling

    School of Mathematical & Statistical Sciences Arizona State University Tempe, AZ 85287 USA

  46. FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model

    Sep 28, 2026Shucheng Liu, Changchun Shi, Kai Zhang +1Neural Surrogate ModelingFunctional Connectivity

    University of North Carolina at Chapel Hill · London School of Economics and Political Science

  47. DecFlowEdit: Self-Localized Flow-based Image Editing via Guidance Decoupling

    Sep 28, 2026Zheyuan Zhan, Can Wang, Jiawei Chen +4Flow MatchingClassifier-Free Guidance

    Zhejiang University · University at Buffalo · University of California, Berkeley

  48. MotionSpaceFlow: Representation-Aware Flow Matching in Direct Motion Space

    Sep 28, 2026Qing Yu, Kent FujiwaraFlow MatchingText-to-Motion Generation

    LY Corporation, Tokyo, Japan

  49. What Does a Stream Model Buy You in Flow Matching?

    Sep 28, 2026Jian XuFlow MatchingConditional Flow Matching

    RIKEN

  50. SNaP: One-Step Posterior Sampling for Noisy Inverse Problems

    Sep 28, 2026Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1Flow MatchingMeanFlow

    WashU · UW-Madison

  51. Source Anchoring for Physical Consistency in Flow Matching Models

    Sep 27, 2026Giulia Romoli, Filippo Ruffini, Paolo SodaConstrained Generative ModelingPhysics-Informed Generative Modeling

    Department of Diagnostics and Intervention, Ume˚a University, Sweden · Unit of Artificial Intelligence and Computer Systems, Universit`a Campus Bio-Medico di Roma, Italy

  52. ChronoFlow: Hierarchical Flow Matching for Irregular Time Series Generation

    Sep 27, 2026Changhun Kim, Sunguk Jang, Jeongjun Lee +5Irregular Time-Series ModelingFlow Matching

    University of Wisconsin–Madison · AITRICS · KAIST

  53. Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL

    Sep 26, 2026Qinwei Ma, Jingzhe Shi, Simin Fan +2RL for Image GenerationAdaptive Loss Weighting

    College of AI, Tsinghua University · Department of Electrical and Computer Engineering, Princeton University · EPFL +1

  54. ReaFlow-TTS: Realization-Conditioned Flow Matching for High-Quality and Controllable Speech Synthesis

    Sep 24, 2026Junyi Zhao, Yihao Qin, Changsheng MaFlow MatchingTTS Synthesis

    School of Information Science and Technology, Lanzhou University, China

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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.

  60. 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