Flow Matching Guide and Code
On the map: Diffusion models → Flow matching, time series and science
Abstract (arXiv)
Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures. This guide offers a comprehensive and self-contained review of FM, covering its mathematical foundations, design choices, and extensions. By also providing a PyTorch package featuring relevant examples (e.g., image and text generation), this work aims to serve as a resource for both novice and experienced researchers interested in understanding, applying and further developing FM.
Key facts. Cited by 291 papers in the map (data through 7 Oct 2026). Placed in Flow matching, time series and science, one of 14 directions in Diffusion models. First posted on arXiv 9 Dec 2024.
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Citing papers per year: 2024: 1; 2025: 132; 2026: 158.
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- 2025X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Modelcited by 285
- 2025Sundial: A Family of Highly Capable Time Series Foundation Modelscited by 168
- 2025Flow Q-Learningcited by 162
- 2025Steering Your Diffusion Policy with Latent Space Reinforcement Learningcited by 149
- 2025A Survey on Vision-Language-Action Models: An Action Tokenization Perspectivecited by 96
- 2025Diffuse and Disperse: Image Generation with Representation Regularizationcited by 67
- 2025Horizon Reduction Makes RL Scalablecited by 55
- 2025Edit Flows: Flow Matching with Edit Operationscited by 53
- 2025Diffusion Guidance Is a Controllable Policy Improvement Operatorcited by 51
- 2025On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticitycited by 48
- 2025CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Modelscited by 47
- 2025On the Guidance of Flow Matchingcited by 44
38 more
- 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcingcited by 37
- 2025Failure Prediction at Runtime for Generative Robot Policiescited by 36
- 2025An Introduction to Flow Matching and Diffusion Modelscited by 33
- 2026Q-learning with Adjoint Matchingcited by 33
- 2025Scaling Offline RL via Efficient and Expressive Shortcut Modelscited by 27
- 2025An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Modelscited by 26
- 2026Diamond Maps: Efficient Reward Alignment via Stochastic Flow Mapscited by 26
- 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Modelscited by 23
- 2025Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Modelscited by 23
- 2026InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editingcited by 23
- 2025Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modelingcited by 22
- 2025Temporal Difference Flowscited by 20
- 2026FASTER: Rethinking Real-Time Flow VLAscited by 20
- 2025CellFlux: Simulating Cellular Morphology Changes via Flow Matchingcited by 19
- 2025Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functionalcited by 18
- 2025Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidancecited by 18
- 2025Equilibrium Matching: Generative Modeling with Implicit Energy-Based Modelscited by 18
- 2025Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approachcited by 18
- 2025α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Modelscited by 17
- 2025GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Modelscited by 17
- 2025OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flowscited by 17
- 2025The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generationcited by 16
- 2025FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Modelscited by 16
- 2025On the Relation between Rectified Flows and Optimal Transportcited by 15
- 2025Psi-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Modelscited by 15
- 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuningcited by 15
- 2025WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Drivingcited by 15
- 2025Flow Matching Meets Biology and Life Science: A Surveycited by 14
- 2025A Theoretical Analysis of Discrete Flow Matching Generative Modelscited by 13
- 2025Carr'e du champ flow matching: better quality-generalisation tradeoff in generative modelscited by 13
- 2025GARF: Learning Generalizable 3D Reassembly for Real-World Fracturescited by 12
- 2025Flow Matching with Semidiscrete Couplingscited by 12
- 2025Value Flowscited by 12
- 2025Transitive RL: Value Learning via Divide and Conquercited by 12
- 2025Scalable Offline Model-Based RL with Action Chunkscited by 12
- 2026Lance: Unified Multimodal Modeling by Multi-Task Synergycited by 11
- 2025Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometrycited by 10
- 2025On Fitting Flow Models with Large Sinkhorn Couplingscited by 10
50 most cited of 291 All 291 (JSON)
- 2026An Efficient Quantum Circuit for Flow Model Execution Using Quantum Neural Networks8 Oct 2026
- 2026Multi-Bandwidth Distribution Matching Distillation: On the Equivalence of Distribution Matching Distillation and Drifting Models7 Oct 2026
- 2026Flowing Faster to Coordinate: One-Step Online Multi-Agent Flow Policies1 Oct 2026
- 2026Variational Streaming Flow: Probabilistic Forecasting in Physical Time1 Oct 2026
- 2026Correcting CondOT: Exact Finite-Step Sampling in Gaussian Flow Matching30 Sep 2026
- 2026Acceleration of Diffusion Language Model through Discrete Average Generator29 Sep 2026
- 2026V-JEPA Policy: Building Effective World-Action Models on Predictive Visual Latents29 Sep 2026
- 2026High-Resolution Dynamic Functional Connectivity Generation with Graph-Variate Flow Matching29 Sep 2026
- 2026Probabilistic Geodesic Flow Matching on Location-Scale Families28 Sep 2026
- 2026What Does a Stream Model Buy You in Flow Matching?28 Sep 2026
- 2026Physics-Guided Flow-Map Matching for Precipitation Nowcasting27 Sep 2026
- 2026Probabilistic and Geometry Aware Neural Surrogate of Scrape Off Layer Plasma Simulations23 Sep 2026
38 more
- 2026Bayesian Filtering in Physical Systems via Test-time Trained Flow Matching20 Sep 2026
- 2026MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation15 Sep 2026
- 2026How I learned to stop worrying and love StopGrads: Stationarity, Convergence, and a case study on Flow Map Learning14 Sep 2026
- 2026FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models9 Sep 2026
- 2026Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks8 Sep 2026
- 2026ContextFlow: In-Context Flow Matching for Robot Manipulation6 Sep 2026
- 2026SPARK: Input-Conditioned Sparse Activation Modulation for Frozen DiT-based Super-Resolution3 Sep 2026
- 2026Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections3 Sep 2026
- 2026CAT-Flow: Curvature-Adaptive sTeps for Flow Matching1 Sep 2026
- 2026Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning1 Sep 2026
- 2026Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAs1 Sep 2026
- 2026LM-X: Explainable Vision--Language--Action Modeling via Progress, Event, and Uncertainty Prediction26 Aug 2026
- 2026Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching25 Aug 2026
- 2026OOD Detection for EEG-based Machine Learning in High-Risk Environments18 Aug 2026
- 2026Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuning11 Aug 2026
- 2026Population-Level Generative Modeling for Ranking Data9 Aug 2026
- 2026Limit Points of Reflow with Minibatch Optimal Transport7 Aug 2026
- 2026TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching18 Jul 2026
- 2026Trajectory-Aware Flow Matching for Topology Optimisation16 Jul 2026
- 2026ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation15 Jul 2026
- 2026Contrastive-Augmented Flow Matching for Style-Content Disentanglement14 Jul 2026
- 2026SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis6 Jul 2026
- 2026Diffeomorphic Optimization1 Jul 2026
- 2026Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition1 Jul 2026
- 2026Wavelet-Optimized Pseudo-3D Accelerated Diffusion Model for Truncated Computed Laminography30 Jun 2026
- 2026Probabilistic Inversion with Flow Matching30 Jun 2026
- 2026KM-Speaker: Keypoint-Based Style Control for High-Quality Speech-Driven 3D Facial Animation and Dialogue Localization26 Jun 2026
- 2026PerturbCellRL: Aligning Distributions and Grounding Biology via Post-Training Perturbation Generators26 Jun 2026
- 2026MedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching23 Jun 2026
- 2026MATCH: Flow Matching for Multi-View Anomaly Detection23 Jun 2026
- 2026A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching23 Jun 2026
- 2026One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields22 Jun 2026
- 2026FlowMaps: Modeling Long-Term Multimodal Object Dynamics with Flow Matching18 Jun 2026
- 2026Reversal Q-Learning16 Jun 2026
- 2026Perron--Frobenius Operator Matching for Generative Modeling16 Jun 2026
- 2026Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees15 Jun 2026
- 2026Self-Improving VLA Policies: Selected Diffusion Noise for Spurious-Robust Action Smoothing12 Jun 2026
- 2026PianoKontext: Expressive Performance Rendering from Deadpan Context10 Jun 2026
50 newest of 291 All 291 (JSON)
- 2025Flow Q-Learningcited by 162
- 2025Steering Your Diffusion Policy with Latent Space Reinforcement Learningcited by 149
- 2025Diffuse and Disperse: Image Generation with Representation Regularizationcited by 67
- 2025Edit Flows: Flow Matching with Edit Operationscited by 53
- 2025On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticitycited by 48
- 2025CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Modelscited by 47
- 2025On the Guidance of Flow Matchingcited by 44
- 2025Failure Prediction at Runtime for Generative Robot Policiescited by 36
- 2025An Introduction to Flow Matching and Diffusion Modelscited by 33
- 2026Q-learning with Adjoint Matchingcited by 33
- 2025An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Modelscited by 26
- 2026Diamond Maps: Efficient Reward Alignment via Stochastic Flow Mapscited by 26
12 most cited of 168 All 168 (JSON)
- 2026Correcting CondOT: Exact Finite-Step Sampling in Gaussian Flow Matching30 Sep 2026
- 2026Acceleration of Diffusion Language Model through Discrete Average Generator29 Sep 2026
- 2026High-Resolution Dynamic Functional Connectivity Generation with Graph-Variate Flow Matching29 Sep 2026
- 2026Probabilistic Geodesic Flow Matching on Location-Scale Families28 Sep 2026
- 2026What Does a Stream Model Buy You in Flow Matching?28 Sep 2026
- 2026Bayesian Filtering in Physical Systems via Test-time Trained Flow Matching20 Sep 2026
- 2026MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation15 Sep 2026
- 2026FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models9 Sep 2026
- 2026Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks8 Sep 2026
- 2026ContextFlow: In-Context Flow Matching for Robot Manipulation6 Sep 2026
- 2026SPARK: Input-Conditioned Sparse Activation Modulation for Frozen DiT-based Super-Resolution3 Sep 2026
- 2026CAT-Flow: Curvature-Adaptive sTeps for Flow Matching1 Sep 2026
12 newest of 168 All 168 (JSON)
- 2025Horizon Reduction Makes RL Scalablecited by 55
- 2025Diffusion Guidance Is a Controllable Policy Improvement Operatorcited by 51
- 2025Scaling Offline RL via Efficient and Expressive Shortcut Modelscited by 27
- 2025Scalable Offline Model-Based RL with Action Chunkscited by 12
- 2025OM2P: Offline Multi-Agent Mean-Flow Policycited by 7
- 2026Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learningcited by 2
- 2026Abstraction for Offline Goal-Conditioned Reinforcement Learningcited by 2
- 2026Path-Coupled Bellman Flows for Distributional Reinforcement Learningcited by 1
- 2025Decision Flow Policy Optimizationcited by 0
- 2026Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuningcited by 0
- 2026Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuning11 Aug 2026
- 2026Abstraction for Offline Goal-Conditioned Reinforcement Learning21 May 2026
- 2026Path-Coupled Bellman Flows for Distributional Reinforcement Learning7 May 2026
- 2026Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning10 Apr 2026
- 2025Scalable Offline Model-Based RL with Action Chunks8 Dec 2025
- 2025OM2P: Offline Multi-Agent Mean-Flow Policy8 Aug 2025
- 2025Horizon Reduction Makes RL Scalable4 Jun 2025
- 2025Diffusion Guidance Is a Controllable Policy Improvement Operator29 May 2025
- 2025Scaling Offline RL via Efficient and Expressive Shortcut Models28 May 2025
- 2025Decision Flow Policy Optimization26 May 2025
- 2025X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Modelcited by 285
- 2025A Survey on Vision-Language-Action Models: An Action Tokenization Perspectivecited by 96
- 2026FASTER: Rethinking Real-Time Flow VLAscited by 20
- 2025Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidancecited by 18
- 2026PRTS: A Primitive Reasoning and Tasking System via Contrastive Representationscited by 6
- 2026Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAscited by 3
- 2026Self-Improving VLA Policies: Selected Diffusion Noise for Spurious-Robust Action Smoothingcited by 1
- 2026Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Correctionscited by 0
- 2026Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections3 Sep 2026
- 2026Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAs1 Sep 2026
- 2026Self-Improving VLA Policies: Selected Diffusion Noise for Spurious-Robust Action Smoothing12 Jun 2026
- 2026PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations30 Apr 2026
- 2026FASTER: Rethinking Real-Time Flow VLAs19 Mar 2026
- 2025X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model11 Oct 2025
- 2025Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance2 Sep 2025
- 2025A Survey on Vision-Language-Action Models: An Action Tokenization Perspective2 Jul 2025
- 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcingcited by 37
- 2026InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editingcited by 23
- 2025Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approachcited by 18
- 2026Steering Large Reasoning Models towards Concise Reasoning via Flow Matchingcited by 3
- 2026Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Compositioncited by 3
- 2026Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition1 Jul 2026
- 2026InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing10 Mar 2026
- 2026Steering Large Reasoning Models towards Concise Reasoning via Flow Matching5 Feb 2026
- 2025Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach2 Dec 2025
- 2025Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing25 Mar 2025
- 2026Nano World Models: A Minimalist Implementation of Future Video Predictioncited by 4
- 2026Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learningcited by 1
- 2026World Model Self-Distillation: Training World Models to Solve General Taskscited by 0
- 2026V-JEPA Policy: Building Effective World-Action Models on Predictive Visual Latentscited by 0
- 2026V-JEPA Policy: Building Effective World-Action Models on Predictive Visual Latents29 Sep 2026
- 2026World Model Self-Distillation: Training World Models to Solve General Tasks10 Jun 2026
- 2026Nano World Models: A Minimalist Implementation of Future Video Prediction17 May 2026
- 2026Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning22 Apr 2026
- 2025Sundial: A Family of Highly Capable Time Series Foundation Modelscited by 168
- 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Modelscited by 23
- 2025Temporal Difference Flowscited by 20
- 2025Equilibrium Matching: Generative Modeling with Implicit Energy-Based Modelscited by 18
- 2025OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flowscited by 17
- 2025GARF: Learning Generalizable 3D Reassembly for Real-World Fracturescited by 12
- 2025Value Flowscited by 12
- 2025Transitive RL: Value Learning via Divide and Conquercited by 12
- 2026Lance: Unified Multimodal Modeling by Multi-Task Synergycited by 11
- 2025On Fitting Flow Models with Large Sinkhorn Couplingscited by 10
- 2026Discrete Adjoint Matchingcited by 10
- 2026Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generationcited by 9
12 most cited of 95 All 95 (JSON)
- 2026An Efficient Quantum Circuit for Flow Model Execution Using Quantum Neural Networks8 Oct 2026
- 2026Multi-Bandwidth Distribution Matching Distillation: On the Equivalence of Distribution Matching Distillation and Drifting Models7 Oct 2026
- 2026Flowing Faster to Coordinate: One-Step Online Multi-Agent Flow Policies1 Oct 2026
- 2026Variational Streaming Flow: Probabilistic Forecasting in Physical Time1 Oct 2026
- 2026Physics-Guided Flow-Map Matching for Precipitation Nowcasting27 Sep 2026
- 2026Probabilistic and Geometry Aware Neural Surrogate of Scrape Off Layer Plasma Simulations23 Sep 2026
- 2026How I learned to stop worrying and love StopGrads: Stationarity, Convergence, and a case study on Flow Map Learning14 Sep 2026
- 2026LM-X: Explainable Vision--Language--Action Modeling via Progress, Event, and Uncertainty Prediction26 Aug 2026
- 2026OOD Detection for EEG-based Machine Learning in High-Risk Environments18 Aug 2026
- 2026Population-Level Generative Modeling for Ranking Data9 Aug 2026
- 2026SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis6 Jul 2026
- 2026Diffeomorphic Optimization1 Jul 2026
12 newest of 95 All 95 (JSON)
Similar, not cited
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- 2024Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
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- 2024Local Flow Matching Generative Models
- 2026Warm-Start Flow Matching for Guaranteed Fast Text/Image Generation
- 2024Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
- 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
- 2026A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions
- 2026Flow Matching with Arbitrary Auxiliary Paths