From First Principles to High-Fidelity Synthesis: A Mathematical Exposition of Diffusion and Score-Based Generative Models
Abstract This report provides a comprehensive mathematical treatment of diffusion-based generative models. We begin by deriving the foundational principles of Denoising Diffusion Probabilistic Models (DDPMs), detailing the forward and reverse Read More …