Overview
Explore the inner workings of Diffusion Models in this comprehensive 33-minute video lecture. Gain a deep understanding of these generative models, which have been the foundation for state-of-the-art works like DALLE and Imagen. Begin with an introduction to the fundamental concepts, then delve into the detailed architecture and mathematical derivations explained in an intuitive manner. Examine various algorithms, improvements, and results from different papers, comparing them to other methods. Follow along with time-stamped sections covering theory, architecture, math, algorithms, improvements, and results. Access additional resources, including relevant research papers and a written tutorial, to further enhance your knowledge of Diffusion Models and their applications in artificial intelligence.
Syllabus
Introduction
Idea & Theory
Architecture
Math Derivation
Algorithms
Improvements
Results
Summary
Taught by
Outlier