Energy-Based and Diffusion Models
摘要
In this chapter, we present optimization techniques and applications of Diffusion Models (DMs) in generative tasks. The chapter emphasizes key methods such as noise scheduling and gradient-based optimization (e.g., Adam) to stabilize and enhance the training of diffusion models.