Denoising Diffusion Implicit Models (DDIM) Explained

In this video, we dive deep into Denoising Diffusion Implicit Models (DDIM) and how they improve upon Denoising Diffusion Probabilistic Models (DDPM) by enabling faster sampling while preserving high-quality results. We break down the DDIM paper, discuss its Non-Markovian forward process, how it allows us to do faster sampling and impact of changing the variance of the diffusion process of DDIM. In the end we also explore how it connects to score matching and stochastic differential equations in diffusion models. DDIM enabled significantly faster image generation compared to standard DDPM. Mo…