Explaining Flow Matching: using vector fields to transform probability distributions
RisingSayak · x · 2026-09-02
The post explains the concept of Flow Matching in simple terms: starting from an initial probability distribution, it leverages the concept of vector fields from Physics to transport particles (data points) from point A to point B. By constraining these vectors appropriately, the method transforms the initial distribution into the target data distribution, providing an intuitive way to understand distribution transformation in generative models.
Related event: An Intuitive Explanation of Flow Matching via Vector Fields(2 posts)→
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