A Tutorial on Diffusion Theory: From Differential Equations to Diffusion Models 事件

A Tutorial on Diffusion Theory: From Differential Equations to Diffusion Models arXiv:2605.22586v2 Announce Type: replace-cross Abstract: This tutorial develops diffusion models from the viewpoint of differential equations. We begin with the conditional Gaussian forward process and show that this path admits both an ordinary differential equation (ODE) representation and a stochastic differential equation (SDE) representation. Averaging the conditional process over the data distribution then yi