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
00:05:19 Motivation
00:10:48 Human ratings
00:19:43 Elo rating system
00:26:37 Reference-free metrics
00:29:15 Fréchet inception distance (FID)
00:42:30 CLIPScore
00:44:51 PickScore
00:45:41 Reference-based metrics
00:48:07 Mean squared error (MSE)
00:49:36 Peak signal-to-noise ratio (PSNR)
00:51:54 Structural similarity (SSIM)
01:01:09 Perceptual similarity (LPIPS)
01:05:03 Multimodal LLMs
01:13:10 Faithfulness evaluation (TIFA)
01:17:29 Visual question answering score (VQA)
01:24:40 MLLM-as-a-Judge
01:34:17 Benchmarks
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