Introduction to Diffusion Models for Machine Learning

Simple Diffusion Process, Types & Example

Rogers' Diffusion of Innovation Theory | Model & Adopters

High-Resolution Image Synthesis with Latent Diffusion Models - Computer Vision & Learning Group

What Is Diffusion? - Definition, Types & Examples Of Diffusion

Improving Diffusion Models as an Alternative To GANs, Part 2 | NVIDIA Technical Blog

SCIENCE | FACTS | BEYOND | HISTORY | on Instagram: "Think of diffusion models like reverse smudging. Start with noise: Begin with a random pattern of pixels — pure static. Step by step, remove noise: The model gradually refines the image, removing randomness while adding structure. Guided by patterns: It knows what features belong where based on training data. Result emerges: After multiple iterations, a clear, realistic image appears from pure noise. It’s called a “diffusion” model because it s