Step-by-Step Diffusion: An Elementary Tutorial
arXiv:2406.08929v214 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental educational resource for learners in machine learning, offering a simplified approach to understanding diffusion models.
The paper provides an introductory tutorial on diffusion models and flow matching for machine learning, simplifying mathematical details to make the concepts accessible to a technical audience without prior experience.
We present an accessible first course on diffusion models and flow matching for machine learning, aimed at a technical audience with no diffusion experience. We try to simplify the mathematical details as much as possible (sometimes heuristically), while retaining enough precision to derive correct algorithms.