Flow-Based Generative Modeling

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  1. Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics

    Jun 10, 2026Sam Gijsen, Michał Łukomski, Marc-André Schulz +1Diffusion TransformerTime Series Generation

  2. Spectrally Regularized Latent Flow Matching for Turbulence Generation

    Jun 10, 2026Khalid Rafiq, Aditya G. NairSpectral RegularizationFlow Matching

  3. Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models

    Jun 9, 2026An Zhao, Shengyuan Zhang, Zhongjian Sun +5Flow MatchingOne-Step Generative Modeling

  4. Exploring the Design Space of Reward Backpropagation for Flow Matching

    Jun 9, 2026Ruoyu Wang, Boye Niu, Xiangxin Zhou +3Flow MatchingAI Alignment

  5. Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

    Jun 9, 2026Bowen Ping, Xiangxin Zhou, Penghui Qi +3RL for Video GenerationRL for Image Generation

  6. Flexible Flows for Biological Sequence Design

    Jun 9, 2026Yogesh Verma, Dani Korpela, Harri Lähdesmäki +1Flow MatchingMolecular Generation

  7. Few-step Generative Models as Lossy Compression

    Jun 9, 2026Fuma Kimishima, Jinjia ZhouLearned Image CompressionFlow-Based Generative Modeling

  8. Compositional Generative Modeling from Decentralized Data

    Jun 8, 2026Mashrur M. Morshed, Vishnu Naresh BoddetiFlow MatchingDecentralized Learning

  9. A Theory on Flow Matching with Neural Networks

    Jun 8, 2026Yihan He, Qishuo Yin, Yuan Cao +2Neural Network GeneralizationFlow Matching

  10. CSFlow: Aligning Flow Matching with Human Contrast Sensitivity

    Jun 7, 2026Malgorzata Galinska, Bart Pogodzinski, Jan Eric LenssenFlow MatchingDiffusion-Based Image Generation

  11. Continuous Language Diffusion as a Decoder-Interface Problem

    Jun 7, 2026Zhicheng Du, Lan MaLatent Diffusion ModelsDiffusion Language Model Decoding

  12. Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules

    Jun 7, 2026Riccardo De Santi, Bruce Lee, Cristian Perez Jensen +6Synthetic Data PretrainingNormalizing Flows

  13. Learning to Solve Generative ODEs Beyond the Linear Span

    Jun 7, 2026Sihyeon Kim, Seunghun Lee, Vikas Singh +1Few-Step Diffusion SamplingFlow-Based Generative Modeling

  14. Where Rectified Flows Leak: Characterising Membership Signals Along the Interpolation Path

    Jun 5, 2026Thomas Sesmat, Gabriel Meseguer-Brocal, Geoffroy PeetersData LeakageRectified Flow

  15. Your GFlowNet Secretly Learns an Optimal Transport Plan

    Jun 4, 2026Ian Maksimov, Nikita Morozov, Denis Belomestny +1Generative Flow NetworksFlow-Based Generative Modeling

  16. Potential-Guided Flow Matching for Vision-Language-Action Policy Improvement

    Jun 3, 2026Yunpeng Mei, Jiakai He, Hongjie Cao +12Flow MatchingVisuomotor Policy Learning

  17. MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer

    Jun 3, 2026Weiyu Li, Antoine Toisoul, Tom Monnier +43D Mesh Generation3D Representation Learning

  18. SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation

    Jun 2, 2026Guangda Ji, Qimin Chen, Qinchan Li +33D Asset GenerationGenerative Modeling

  19. Optimal Transport Flow Matching by Design

    Jun 2, 2026Shimon Malnick, Matan Rusanovsky, Ohad Fried +1Flow MatchingOne-Step Generative Modeling

  20. Let the Dynamics Flow: Stable Flow Matching Dynamical Systems

    Jun 2, 2026Rodrigo Pérez-Dattari, Francisco Leiva, Andrea Testa +3Flow MatchingLyapunov Stability

  21. Low-Pass Flow Matching

    Jun 1, 2026Francesco M. Ruscio, T. Konstantin RuschFlow MatchingImage Generation

  22. FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors

    May 31, 2026Hongxu Ma, Han Zhou, Chenghou Jin +5Recommender SystemsFlow-Based Generative Modeling

  23. Strong Stochastic Flow Maps

    May 31, 2026Sam McCallum, Zander W. Blasingame, Timothy Herschell +3Stochastic Differential EquationsFew-Step Diffusion Sampling

  24. Geometric Erasure by Contrastive Velocity Matching in Rectified Flows

    May 29, 2026Jonas Henry Grebe, Tobias Braun, Anna Rohrbach +1Rectified FlowFlow-Based Generative Modeling

  25. Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design

    May 28, 2026Sven Gutjahr, Riccardo De Santi, Luca Schaufelberger +2Constrained Generative ModelingMolecular Optimization

  26. Midpoint Generative Models

    May 28, 2026Daniil Shlenskii, Nikita Gushchin, Lev Novitskiy +2Flow MatchingStochastic Interpolants

  27. Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields

    May 27, 2026Julien Lalanne, David Picard, Lionel Boillot +3Flow MatchingUncertainty Quantification

  28. GenSBI: Generative Methods for Simulation-Based Inference in JAX

    May 26, 2026Aurelio AmerioFlow MatchingSimulation-Based Inference

  29. Recursive Flow Matching

    May 26, 2026Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1Neural Surrogate ModelingFlow Matching

  30. Two-Parameter Flows for Learning Population Dynamics of Physical Systems

    May 25, 2026Paul Schwerdtner, Tobias Blickhan, Benjamin PeherstorferDynamical SystemsContinuous Normalizing Flows

  31. AdvantageFlow: Regularized Advantage-Weighted RL in Flow Models

    May 25, 2026Branislav Kveton, Anup Rao, Subhojyoti Mukherjee +2Rectified FlowRL for Image Generation

  32. Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications

    May 22, 2026Roman Pavelkin, Luis A. Zavala-Mondragon, Christiaan G. A. Viviers +1Flow MatchingImage Reconstruction

  33. Sparse Compositional Flow Matching by geometric assembly from motion primitives

    May 22, 2026Yan Tang, Yuanbo Tang, Tingyu Cao +2Flow MatchingRobot Motion Generation

  34. PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation

    May 22, 2026Junru Zhang, Lang Feng, Jinbo Wang +6Flow MatchingMixture of Experts

  35. Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards

    May 20, 2026Xuehui Yu, Fucheng Cai, Meiyi Wang +2Constrained Generative ModelingDiffusion Model Guidance

  36. Probability-Conserving Flow Guidance

    May 19, 2026Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh +2Diffusion Model GuidanceClassifier-Free Guidance

  37. Tail Annealing for Heavy-Tailed Flow Matching

    May 19, 2026Jean PachebatFlow MatchingGenerative Modeling

  38. FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models

    May 19, 2026Yi Sun, Zhiqi Zhang, Xinhao Zhong +5Flow MatchingT2I Generation

  39. Multi-Scale Generative Modeling with Heat Dissipation Flow Matching

    May 19, 2026Jun Ma, Hanquan Zhang, Yanjun Qin +2Flow MatchingImage Generation

  40. Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes

    May 19, 2026Tianshu Kuai, Arman Maesumi, Daniel Ritchie +1Flow Matching3D Mesh Generation

  41. Distribution Matching Distillation without Fake Score Network

    May 19, 2026Youngjoong Kim, Deokyeong Lee, Jaesik ParkDiffusion Model DistillationFew-Step Diffusion Sampling

  42. Flowing with Confidence

    May 18, 2026Friso de Kruiff, Dario Coscia, Max Welling +1Flow MatchingUncertainty Quantification

  43. SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation

    May 18, 2026Longtao Jiang, Jianmin Bao, Zhendong Wang +4Normalizing FlowsEmbedding Compression

  44. Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling

    May 17, 2026Tianyue Yang, Sandro Tacchella, Xiao XueConditional Image GenerationOne-Step Generative Modeling

  45. Drift Flow Matching

    May 17, 2026Chenrui Ma, Xi Xiao, Lin Zhao +3Flow MatchingInference-Time Scaling

  46. Learning Unbiased Permutations via Flow Matching

    May 16, 2026Yimeng Min, Carla P. GomesFlow MatchingCombinatorial Optimization

  47. CAB: Accelerating Flow and Diffusion Sampling via Rectification and Corrected Adams-Bashforth

    May 16, 2026Anuska Roy, Pravin NairFew-Step Diffusion SamplingGenerative Flow Networks

  48. Wavelet Flow Matching for Multi-Scale Physics Emulation

    May 15, 2026Gabriele Accarino, Juan Nathaniel, Carla Roesch +4Flow MatchingPDE Surrogate Modeling

  49. StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow

    May 15, 2026Gurjeet Jagwani, Stephen Thorp, Sinan Deger +1Continuous Normalizing FlowsFlow-Based Generative Modeling

  50. Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schrödinger Samplers

    May 15, 2026Bruno Trentini, Dejan Stancevic, Michael M. Bronstein +2Flow MatchingSchrödinger Bridges

  51. Aligning Latent Geometry for Spherical Flow Matching in Image Generation

    May 14, 2026Tuna Han Salih Meral, Kaan Oktay, Hidir Yesiltepe +2Flow MatchingNeural Representation Geometry

  52. The Velocity Deficit: Initial Energy Injection for Flow Matching

    May 14, 2026Linze Li, Zong-Wei Hong, Shen Zhang +4Flow MatchingImage Generation

  53. AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation

    May 13, 2026Yuchao Gu, Guian Fang, Yuxin Jiang +4Video Diffusion ModelsDiffusion Model Distillation

  54. Sampling from Flow Language Models via Marginal-Conditioned Bridges

    May 13, 2026Iskander Azangulov, Leo ZhangFlow MatchingLanguage Model Decoding

  55. Path-independent Flow Matching for Multi-parameter Generative Dynamics

    May 13, 2026Francisco Téllez, AmirHossein Zamani, Philippe Martin +5Flow MatchingFlow Map Learning