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
Learn these first
Where you meet it in the real world
Current image and video generators, fast few-step sampling, robot action policies like pi-zero
Videos
▶ Flow Matching for Generative Modeling (Paper Explained) ↗
Yannic Kilcher · YouTube
Guides and articles
What are Diffusion Models? | Lil'Log ↗
Lil'Log (OpenAI researcher)
Courses, papers, and more