Paper Walkthrough: Denoising Diffusion Probabilistic Models

Sascha Kirch

Towards Data Science

This walkthrough is about a paper that kicked off a new era of generative deep learning in computer vision and many other fields subsequently: the era of diffusion models. It’s titled “Denoising Diffusion Probabilistic Models” and it introduces a new framework known as DDPM, the abbreviation of the paper’s title.

While the general idea of diffusion models might seem intuitive, the math…

Source link