Generative diffusion models exhibit phase transitions and critical instability, revealing a deep connection to equilibrium statistical mechanics.
Generative diffusion models have shown high success in various fields with a powerful theoretical foundation. This study provides an overview of the theoretical developments in this domain, categorizing the research into training-based and sampling-based approaches.