[Image by Justin Lim] Introduction This article will delve into diffusion models, a group of latent variable (see definitions) generative models with applications in image generation, audio synthesis, and denoising. More specifically, this article will mostly focus on the derivations and the ideas behind diffusion models, with a heavy enthuses on the ideas introduced in Ho et al. in his Denoising Diffusion Probabilisitic Models paper (DDPMs). The applications of these models will not be covered today.