Encyclopedia · 176 concepts

Generative AI · advanced · concept 120 of 176

Flow Matching & Modern Diffusion

A cleaner way to train generative models: learn a velocity field that transports noise to data along straight paths, instead of learning to undo many noising steps. Simpler math, fewer sampling steps, and it now powers state-of-the-art image generators and robot policies alike.

Key terms

Velocity fieldProbability flowRectified flowODE samplingContinuous normalizing flows

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Where you meet it in the real world

Current image and video generators, fast few-step sampling, robot action policies like pi-zero

Guides and articles

What are Diffusion Models? | Lil'Log

Lil'Log (OpenAI researcher)