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# How I Understand Flow Matching

**[Jia-Bin Huang](https://daily.dev/sources/jbhuang0604)** · 16 min read · 0 upvotes · 0 comments

## Summary

A conceptual walkthrough of flow-based generative models, starting from normalizing flows and the change-of-variable formula, through continuous normalizing flows and neural ODEs, and culminating in flow matching as a scalable training method. Key topics include coupling layers, autoregressive flows, residual flows, the continuity equation, and conditional flow matching objectives. The content also draws comparisons between flow matching and diffusion models, highlighting how flow matching generalizes and simplifies the diffusion framework by removing the constraints of a fixed forward diffusion process.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=DDq_pIfHqLs>

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Tags: [#genai](https://daily.dev/tags/genai), [#diffusion-models](https://daily.dev/tags/diffusion-models)

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