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Overview
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Learn about Flow Matching, a simplified alternative to traditional Diffusion Models, through a 22-minute video tutorial that combines theoretical explanations with practical PyTorch implementation. Explore both an intuitive explanation using just two formulas and a detailed mathematical derivation from the original paper. Progress through key concepts including an introduction to Flow Matching, its relationship to broader Diffusion Models, and hands-on coding implementation in PyTorch. Gain insights from related research papers on Flow Matching, MovieGen, and Stable Diffusion 3, with access to complete source code on GitHub for practical experimentation.
Syllabus
Intro
Introduction
Intuitive Derivation
Flow Matching in the bigger picture of Diffusion Models
Derivation
PyTorch Implementation
Taught by
Outlier