Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 7 - Evaluation

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