DadgogoAI Dictionary

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flow matching

noun \ˈflō ˌma-chiŋ\

also FM

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Definition of flow matching

  1. : a method for training a continuous generative model by teaching it the vector field that moves samples along chosen probability paths from a simple distribution, such as noise, toward the data distribution

    • The image generator used flow matching to learn a continuous path from noise to realistic samples.
    • Researchers chose an optimal-transport path when training the flow-matching model.

Two meanings, one word

In everyday English

Matching means making one thing correspond closely to another.

In AI

A method for training a continuous generative model by teaching it the vector field that moves samples along chosen probability paths from a simple distribution, such as…

Origin & history

first known use2022

Yaron Lipman and collaborators introduced Flow Matching for generative modeling in a 2022 paper. They described a simulation-free training objective for continuous normalizing flows that regresses vector fields along conditional probability paths, including paths related to diffusion models.

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Cite this entry

"Flow matching." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/flow-matching/. Accessed 6 Oct. 2026.

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