  Deep generative models have unlocked another profound realm of human
creativity. By capturing and generalizing patterns within data, we have entered
the epoch of all-encompassing Artificial Intelligence for General Creativity
(AIGC). Notably, diffusion models, recognized as one of the paramount
generative models, materialize human ideation into tangible instances across
diverse domains, encompassing imagery, text, speech, biology, and healthcare.
To provide advanced and comprehensive insights into diffusion, this survey
comprehensively elucidates its developmental trajectory and future directions
from three distinct angles: the fundamental formulation of diffusion,
algorithmic enhancements, and the manifold applications of diffusion. Each
layer is meticulously explored to offer a profound comprehension of its
evolution. Structured and summarized approaches are presented in
https://github.com/chq1155/A-Survey-on-Generative-Diffusion-Model.
