Learn more details about this course: https://online.stanford.edu/courses/cme296-diffusion-and-large-vision-models
To follow along with the course schedule and syllabus, visit: https://cme296.stanford.edu/syllabus/
Chapters:
00:00:00 Introduction
00:01:38 Diffusion
00:05:23 Score matching
00:13:02 Flow matching
00:19:04 Latent space and guidance
00:25:11 Image generation architectures
00:29:47 Model training
00:37:23 Evaluation
00:44:28 State-of-the-art models
00:55:03 Video generation models
01:12:51 Image editing
01:20:35 Diffusion for LLMs
01:38:54 Closing thoughts
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
Afshine Amidi is an Adjunct Lecturer at Stanford University.
Shervine Amidi is an Adjunct Lecturer at Stanford University.
View the course playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rNdy8rt2rZ4T2xM0OjADnfu