Overview

Conditional Flow Matching learns a time-dependent velocity field that carries samples from a source distribution, often noise, toward a target distribution given conditions such as an image, measurement, or physical state. Methods improve this transport with optimal-transport couplings, tailored interpolation paths and schedules, and physics or task-specific constraints; applications include image generation, inverse problems, forecasting, and biological dynamics. Evaluation spans image benchmarks such as CIFAR-10 and ImageNet, as well as PDE, medical-imaging, and single-cell settings, with work also targeting faster sampling through better solvers and distillation. A central tension is balancing sample quality and reliable uncertainty or physical fidelity against training and inference cost, while clarifying when the flow-matching objective supports calibrated likelihoods or posterior estimates.

Latest papers

CardsList

62 papers18 papers in the last four weeks, up 125% on the four weeks before. 0.1% of all new papers.

  1. FFAI: Flow Matching with Feedback Training and Adaptive Initialization for CT Reconstruction

    Oct 29, 2026Jigang Duan, Heran Wang, Genwei Ma +1Computed TomographySparse-View CT Reconstruction

  2. CounterFlow: Target-Conditioned Flow Matching for Visual Counterfactuals

    Oct 26, 2026Paul Sevellec, Elisa Fromont, Romaric Gaudel +3Counterfactual ExplanationsCounterfactual Image Generation

  3. Conditional Flow Models Convert Epistemic Uncertainty into Apparent Aleatoric Variance

    Oct 21, 2026Navodita Sharma, Abhishek Shetty, Max Simchowitz +1Conditional Flow MatchingConditional Distribution Estimation

  4. Learning ωω-Powered Conditional Distributions with Importance-Weighted Flow Matching

    Oct 12, 2026Maciej Falkiewicz, Frantzeska Lavda, Jason Ramapuram +1Conditional Distribution EstimationConditional Flow Matching

  5. DC-Flow: Target-Conditioned Cyclic Peptide Design via Delayed-Coupling Flow Matching

    Oct 11, 2026Yitian Wang, Minjie Cheng, Yaning Cui +3Protein Structure GenerationMolecular Generation

  6. MultiFlow: Vision-Driven Multimodal fMRI Encoding via Stimulus-Informed Source Flow Matching

    Oct 11, 2026Bui Van Hung, Hoang-Son Vo, Mai Duc Minh Huy +2NeuroimagingFlow-Based Generative Modeling

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

    Oct 8, 2026Niklas Canova, Jonas Simon FleckFinsler GeometryFlow-Based Generative Modeling

  8. Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields

    Oct 7, 2026Peng Liu, Shaoxiang Qin, Theodore Potsis +3Computational Fluid DynamicsConditional Flow Matching

  9. Conditional Flow Matching for Transport Between Markov Processes

    Oct 5, 2026Syamantak Kumar, Dheeraj Nagaraj, Saptarshi Roy +1Conditional Flow MatchingDomain Adaptation

  10. Conditional Flow Matching for Single-Neuron Electrophysiology: Capturing Multimodal Responses Across Stimuli

    Oct 5, 2026Cameron Schofield, Luca Ghafourpour, Philip H. Wong +2Neural Surrogate ModelingConditional Flow Matching

  11. TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions

    Oct 4, 2026Bowen Han, Lingbei Meng, Shihuan Luo +7Single-Cell Perturbation ModelingConditional Flow Matching

  12. Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching

    Oct 1, 2026Victor Enescu, Assaad Zeghina, Matthieu Meignin +2Remote Sensing Image UnderstandingUnsupervised Domain Adaptation

  13. GRFBrain: Graph-Structured Rectified Flows for EEG Dynamic Modeling

    Sep 29, 2026Haohui Jia, Zheng Chen, Jathurshan Pradeepkumar +4ElectroencephalographyFunctional Connectivity

  14. DRIFT: Disentangled Responsive-Invariant Flow Transport for Single-Cell Perturbation Prediction

    Sep 28, 2026Mustapha Bounoua, Giulio Franzese, Pietro MichiardiDisentangled Representation LearningConditional Flow Matching

  15. Harmonizing Spectral Evolution in Conditional Flow Matching for TTS

    Sep 28, 2026Isha Pandey, Varad Deshpande, Abhijat Bharadwaj +1TTS SynthesisConditional Flow Matching

  16. GeoCFM: Positive-Only Conditional Flow Matching for Mineral Occurrence Sampling

    Sep 28, 2026Moshe Eliasof, Eldad HaberConditional Flow MatchingGeospatial Reasoning

  17. Generalizable single-cell perturbation response prediction using energy-guided flow matching

    Sep 27, 2026Jianan Wei, Jiajun Hong, Guikun Chen +3Single-Cell Perturbation ModelingSingle-Cell Transcriptomics

  18. Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching

    Sep 23, 2026Shreya Deshmukh, Imen Mahdi, Nick Heppert +1Conditional Flow MatchingMulti-Task Robotic Manipulation

  19. FIRM: Flow-based Imaging via Regularized Minimization

    Sep 11, 2026Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1Conditional Flow MatchingImage Reconstruction

  20. BridgeMatch: Conditional Transport Bridges in Matching Matrix Space for 3D Deformable Registration

    Sep 10, 2026Qianliang Wu, Yaqing Ding, Guangwei Gao +3Conditional Flow MatchingNon-Rigid Shape Correspondence

  21. Conditional Flow Matching for Cross-Field MRI Harmonisation

    Sep 1, 2026Baris Imre, Aram Salehi, Levente Baljer +3Conditional Flow MatchingMagnetic Resonance Imaging

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

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

  23. When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood?

    Aug 28, 2026Yansen Han, Hongxin Sun, Tao LinFlow MatchingConditional Flow Matching