A Mathematical Introduction to Diffusion Models

A new technical paper provides a formal mathematical framework for diffusion models, detailing the progression from classical sampling dynamics to contemporary generative techniques. The work specifically focuses on error analysis and inference-time control, offering researchers a rigorous reference for understanding the underlying mechanics of image and data generation.