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. Support-Conditioned Flow Matching Is Kernel Smoothing

    May 13, 2026Daniel Matsui SmolaFlow MatchingCross-Attention

    Department of Computer Science University of Washington Seattle, WA

  2. Asymmetric Flow Models

    May 13, 2026Hansheng Chen, Jan Ackermann, Minseo Kim +2Flow MatchingT2I Generation

    Stanford University

  3. Coreset-Induced Conditional Velocity Flow Matching

    May 13, 2026Xiao Wang, Zihua She, Jianxi SuConditional Flow MatchingRectified Flow

    Department of Statistics, Purdue University

  4. Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels

    May 12, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Md Sajid Ahmed +2Markov ModelsMeanFlow

    Department of Computer Science, University of Kentucky Lexington, Kentucky 40506, USA

  5. Constraint-Aware Flow Matching: Decision Aligned End-to-End Training for Constrained Sampling

    May 12, 2026Jacob K. Christopher, James E. Warner, Ferdinando FiorettoConstrained Generative ModelingFlow Matching

    University of Virginia · NASA Langley Research Center

  6. Aligning Flow Map Policies with Optimal Q-Guidance

    May 12, 2026Christos Ziakas, Alessandra Russo, Avishek Joey BoseFlow MatchingPolicy Optimization

    Imperial College London · Mila

  7. hh-control: Training-Free Camera Control via Block-Conditional Gibbs Refinement

    May 12, 2026Yuzhu Wang, Xi Ye, Duo Su +2Markov Chain Monte CarloCamera-Controlled Video Generation

    Department of Computer Science and Technology, Tsinghua University · South China University of Technology

  8. One-Step Generative Modeling via Wasserstein Gradient Flows

    May 12, 2026Jiaqi Han, Puheng Li, Qiushan Guo +3Wasserstein Gradient FlowsImage Generation

    Stanford University · ByteDance

  9. Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching

    May 12, 2026Aditi Gupta, Soon Hoe Lim, Annan Yu +1Flow MatchingFlow-Based Generative Modeling

    Lawrence Berkeley National Laboratory · International Computer Science Institute · 1Lawrence Berkeley National Laboratory, 2International Computer Science Institute +4

  10. Language Modeling with Hyperspherical Flows

    May 11, 2026Justin Deschenaux, Caglar GulcehreNormalizing FlowsContinuous Normalizing Flows

    EPFL · Lausanne, Switzerland · EPFL, Lausanne, Switzerland +1

  11. ELF: Embedded Language Flows

    May 11, 2026Keya Hu, Linlu Qiu, Yiyang Lu +5Flow-Based Generative ModelingDiffusion Language Models

    MIT

  12. Follow the Mean: Reference-Guided Flow Matching

    May 11, 2026Pedro M. P. Curvo, Maksim Zhdanov, Floor Eijkelboom +1Flow MatchingFlow-Based Generative Modeling

    University of Amsterdam · AMLab

  13. UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning

    May 11, 2026Danhui Zhang, Zhe Wang, Qing Qing +6Replay-Based Continual LearningFlow-Based Generative Modeling

    Jilin University · Adelaide University · RMIT University +1

  14. Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs

    May 10, 2026Yunhong Lu, Qichao Wang, Hengyuan Cao +2Pairwise Preference LearningRectified Flow

    Zhejiang University · Shanghai Institute for Advanced Study-Zhejiang University · Shanghai Institute for Mathematics and Interdisciplinary Sciences

  15. Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech

    May 10, 2026Dong Yang, Yiyi Cai, Haoyu Zhang +2Flow MatchingTTS Synthesis

    1The University of Tokyo · 2Independent Researcher

  16. dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models

    May 10, 2026Zhengyan Wan, Yidong Ouyang, Panwen Hu +1Group Relative Policy OptimizationImage Generation

    Mohamed bin Zayed University of Artificial Intelligence · East China Normal University · University of California, Los Angeles +1

  17. On Variance Reduction in Learning Mean Flows

    May 10, 2026Juanwu Lu, Ziran WangFlow MatchingMeanFlow

    Purdue University

  18. Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions

    May 9, 2026Le-Tuyet-Nhi Pham, Giovanni Conforti, Zhenjie Ren +1Flow MatchingGenerative Modeling

    École Polytechnique, CMAP, IP Paris Route de Saclay, 91120 Palaiseau, France · Università degli Studi di Padova, Via Trieste, 63, 35131 Padova, Italia · LaMME, Université Évry Paris-Saclay Boulevard François Mitterrand 91000, France

  19. Restoration-Aligned Generative Flow Models for Blind Motion Deblurring

    May 9, 2026Insoo Kim, Jinwoo ShinFlow MatchingImage Deblurring

    1NAVER Cloud · 2KAIST AI

  20. Deterministic Decomposition of Stochastic Generative Dynamics

    May 9, 2026Xingyu Song, Yuan Mei, Naoya TakeishiFlow MatchingStochastic Differential Equations

    1The University of Tokyo · 2Zhejiang University · *Visiting student at The University of Tokyo from Zhejiang University.

  21. Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once

    May 8, 2026Moritz Piening, Richard Duong, Gabriele SteidlFlow MatchingGenerative Modeling

    Institut für Mathematik, Technische Universität Berlin, Germany

  22. Exploring and Exploiting Stability in Latent Flow Matching

    May 8, 2026Rania Briq, Michael Kamp, Ohad Fried +2Flow MatchingEfficient Inference

    Forschungszentrum Jülich · Technical University Dortmund · Lamarr Institute +4

  23. What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching

    May 8, 2026Alec Helbling, Sebastian Gutierrez Hernandez, Benjamin Hoover +2Flow MatchingFlow-Based Generative Modeling

    Georgia Tech · IBM Research

  24. Normalizing Trajectory Models

    May 8, 2026Jiatao Gu, Tianrong Chen, Ying Shen +3Normalizing FlowsDiffusion Model Distillation

    Apple · UIUC

  25. Flow-OPD: On-Policy Distillation for Flow Matching Models

    May 8, 2026Zhen Fang, Wenxuan Huang, Yu Zeng +8Diffusion Model AlignmentFlow Matching

    University of Science and Technology of China · University of California, Los Angeles · 3The Chinese University of Hong Kong +1

  26. STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

    May 8, 2026Ying Shen, Tianrong Chen, Yuan Gao +6Unified Multimodal ModelsMultimodal Generation

    UIUC · Apple

  27. Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

    May 8, 2026Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade +3Flow MatchingDiffusion Language Model Inference

    1The Ohio State University · 2Apple

  28. Consistency Regularised Gradient Flows for Inverse Problems

    May 8, 2026Alessio Spagnoletti, Tim Y. J. Wang, Marcelo Pereyra +1Latent Diffusion ModelsWasserstein Gradient Flows

    Laboratoire MAP5, UMR 8145, Université Paris Cité, CNRS · Department of Mathematics, Imperial College London · Heriot-Watt University, MACS & Maxwell Institute

  29. Scaling Categorical Flow Maps

    May 8, 2026Oscar Davis, Anastasiia Filippova, Pierre Ablin +4Language Model ScalingFlow Map Learning

    Apple · University of Oxford

  30. Flow Matching for Count Data

    May 8, 2026Ganchao Wei, John PearsonFlow MatchingSynthetic Data Generation

    Department of Neurobiology Department of Statistical Science Duke University Durham, NC, USA · Department of Neurobiology Department of Electrical and Computer Engineering Duke University Durham, NC, USA

  31. Structured Coupling for Flow Matching

    May 8, 2026Xavier Sumba, Carles Balsells-Rodas, Yingzhen LiFlow MatchingDisentangled Representation Learning

    Imperial College London

  32. Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field

    May 8, 2026Kim Yong Tan, Yueming Lyu, Ivor Tsang +1Diffusion Model GuidanceBlack-Box Optimization

    College of Computing and Data Science, Nanyang Technological University, Singapore · Centre for Frontier AI Research, Agency for Science, Technology and Research, Singapore · Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore

  33. Conservative Flows: A New Paradigm of Generative Models

    May 7, 2026Eshed Gal, Md Shahriar Rahim Siddiqui, Moshe Eliasof +1Langevin DynamicsGenerative Flow Networks

    The University of British Columbia Vancouver, Canada · University of Cambridge Cambridge, United Kingdom

  34. A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models

    May 7, 2026Aditya Ranganath, Mukesh SinghalFlow MatchingGenerative Modeling

    Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore, CA 94551, USA · Department of Electrical Engineering University of California Merced, CA 95343, USA

  35. Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline

    May 7, 2026Zhengyi Guo, Jiayuan Sheng, David D. Yao +1Fine-TuningFlow-Based Generative Modeling

  36. FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation

    May 7, 2026Mingfeng Lin, Jiakun Chen, Liang Han +1Flow MatchingConditional Image Generation

    Harbin Institute of Technology (Shenzhen)

  37. Flow Matching with Arbitrary Auxiliary Paths

    May 7, 2026Xin Peng, Ang GaoConditional Flow MatchingFlow-Based Generative Modeling

    School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China

  38. A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions

    May 7, 2026Tyler Ingebrand, Ruihan Zhao, Kushagra Gupta +3Flow MatchingFlow-Based Generative Modeling

    University of Texas at Austin

  39. P-Guide: Parameter-Efficient Prior Steering for Single-Pass CFG Inference

    May 7, 2026Xin Peng, Ang GaoFlow MatchingClassifier-Free Guidance

    School of Physical Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China

  40. Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems

    May 7, 2026Sicheng Ma, Tianyue Yang, Xiuzhe Wu +1Flow MatchingOne-Step Generative Modeling

    Department of Physics University of Cambridge · The Center for Computational Science University College London · Department of Computer Science University College London

  41. SDFlow: Similarity-Driven Flow Matching for Time Series Generation

    May 7, 2026Wei Li, Shibo Feng, Pengcheng Wu +3Flow MatchingTime Series Generation

    1Shanghai Jiao Tong University · 2Shanghai University · 3Nanyang Technological University +2

  42. Spherical Flows for Sampling Categorical Data

    May 7, 2026Jannis Chemseddine, Gregor Kornhardt, Gabriele SteidlFlow MatchingSynthetic Data Generation

    Technische Universität Berlin

  43. HDFlow: Hierarchical Diffusion-Flow Planning for Long-horizon Tasks

    May 6, 2026Nandiraju Gireesh, Yuanliang Ju, Chaoyi Xu +3Hierarchical PlanningLong-Horizon Robotic Manipulation

    1Peking University · University of Toronto. · 2Galbot

  44. A Few-Step Generative Model on Cumulative Flow Maps

    May 5, 2026Zhiqi Li, Duowen Chen, Yuchen Sun +1One-Step Generative ModelingFlow-Based Generative Modeling

    Georgia Institute of Technology, Atlanta, United States of America

  45. PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics

    May 5, 2026Hao Zhou, Rui Zhang, Han Wan +1Physics-Informed Generative ModelingUncertainty Quantification

    Gaoling School of Artificial Intelligence, Renmin University of China

  46. Generative Modeling with Orbit-Space Particle Flow Matching

    May 4, 2026Sinan Wang, Jinjin He, Shenyifan Lu +3Flow MatchingOne-Step Generative Modeling

    Georgia Institute of Technology, USA

  47. Stable GFlowNets with Probabilistic Guarantees

    May 3, 2026Zengxiang Lei, Ananth Shreekumar, Jonathan Rosenthal +6Generative Flow NetworksFlow-Based Generative Modeling

    Lyles School of Civil and Construction Engineering, Purdue University, IN, USA · Department of Computer Science, Purdue University, IN, USA · Computer Science and Engineering, University of California, Santa Cruz, USA

  48. CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making

    May 2, 2026Guowei Zou, Haitao Wang, Beiwen Zhang +2Flow MatchingMulti-Agent Coordination

    Sun Yat-sen University

  49. Posterior Augmented Flow Matching

    May 1, 2026George Stoica, Sayak Paul, Matthew Wallingford +6Flow MatchingConditional Image Generation

    Georgia Tech · University of Washington · Hugging Face +2

  50. Divergence is Uncertainty: A Closed-Form Posterior Covariance for Flow Matching

    May 1, 2026Jiarui Xing, Song Wang, Jian WangFlow MatchingUncertainty Quantification

    Yale University · Harvard Medical School

  51. Binomial flows: Denoising and flow matching for discrete ordinal data

    May 1, 2026Yair Shenfeld, Ricardo Baptista, Stefano PeluchettiFlow MatchingFlow-Based Generative Modeling

  52. A unified perspective on fine-tuning and sampling with diffusion and flow models

    Apr 30, 2026Carles Domingo-Enrich, Yuanqi Du, Michael S. AlbergoStochastic Optimal ControlDiffusion Sampling

    Microsoft Research New England · Harvard University, Kempner Institute

  53. How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

    Apr 29, 2026Jerry Y. Huang, Justin Lin, Sheel Shah +2Generative ModelingFlow-Based Generative Modeling

    Carnegie Mellon University

  54. FlowS: One-Step Motion Prediction via Local Transport Conditioning

    Apr 28, 2026Leandro Di Bella, Adrian Munteanu, Bruno CornelisFlow MatchingTrajectory Generation

    Department of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium · IMEC, Kapeldreef 75, B-3001 Leuven, Belgium

  55. CoreFlow: Low-Rank Matrix Generative Models

    Apr 27, 2026Dongze Wu, Linglingzhi Zhu, Yao XieGenerative ModelingContinuous Normalizing Flows

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA

  56. FlowPlace: Flow Matching for Chip Placement

    Apr 26, 2026Peng Xie, Ke Xue, Yunqi Shi +6Constrained Generative ModelingFlow Matching

    1State Key Laboratory of Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · 3Huawei Noah’s Ark Lab, China

  57. MotionHiFlow: Text-to-motion via hierarchical flow matching

    Apr 25, 2026Heng Li, Xiaotong Lin, Ling-An Zeng +3Flow MatchingText-to-Motion Generation

    Sun Yat-sen University · Shandong University · Guangdong Province Key Laboratory of Information Security Technology, China +1

  58. Normalizing Flows with Iterative Denoising

    Apr 21, 2026Tianrong Chen, Jiatao Gu, David Berthelot +2Normalizing FlowsAutoregressive Image Generation

    Apple Machine Learning Research.

  59. Frequency-Forcing: From Scaling-as-Time to Soft Frequency Guidance

    Apr 21, 2026Weitao DuFlow MatchingImage Generation

    DAMO Academy

  60. Prior-Fitted Functional Flow: In-Context Generative Models for Pharmacokinetics

    Apr 19, 2026César Ojeda, Niklas Hartung, Wilhelm Huisinga +6Zero-Shot Time Series ForecastingHealthcare

    University of Potsdam, Germany · Technical University Berlin, Germany · Freie Universität Berlin, Germany +2