Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

IBM

Understanding Diffusion Models for AI Image Generation - From Theory to Applications

IBM via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the inner workings of diffusion models in this 12-minute video that breaks down the fundamental concepts behind AI image generation. Discover how the diffusion process works in both forward and reverse directions, with detailed explanations of how noise is systematically added to and removed from images. Learn about conditional diffusion techniques that enable text-to-image generation and image editing capabilities. Through clear explanations and visual examples, understand how these powerful models are revolutionizing various fields from creative marketing to medical imaging. Master key concepts including forward diffusion, reverse diffusion, conditional diffusion, and real-world applications while gaining insights into how AI transforms text prompts into high-quality, realistic images.

Syllabus

0:00 - Overview
0:56 - Forward Diffusion
5:21 - Reverse Diffusion
8:02 - Conditional Diffusion
11:07 - Applications

Taught by

IBM Technology

Reviews

Start your review of Understanding Diffusion Models for AI Image Generation - From Theory to Applications

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.