This repository is an organized awesome list aggregating academic papers, introductory posts, tutorials, and videos about diffusion models. It categorizes resources across vision (generation, segmentation, inverse problems), audio (TTS, enhancement, separation), natural language processing, tabular data, and molecular generation. The list serves as a reference hub for researchers and practitioners studying or implementing diffusion-based generative models.