  The astonishing growth of generative tools in recent years has empowered many
exciting applications in text-to-image generation and text-to-video generation.
The underlying principle behind these generative tools is the concept of
diffusion, a particular sampling mechanism that has overcome some shortcomings
that were deemed difficult in the previous approaches. The goal of this
tutorial is to discuss the essential ideas underlying the diffusion models. The
target audience of this tutorial includes undergraduate and graduate students
who are interested in doing research on diffusion models or applying these
models to solve other problems.
