diff-usion/Awesome-Diffusion-Models
A curated collection of research papers, tutorials, and resources on diffusion models for generative AI.
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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.
Frequently asked
- What is diff-usion/Awesome-Diffusion-Models?
- A curated collection of research papers, tutorials, and resources on diffusion models for generative AI.
- Is Awesome-Diffusion-Models open source?
- Yes — diff-usion/Awesome-Diffusion-Models is open source, released under the MIT license.
- What language is Awesome-Diffusion-Models written in?
- diff-usion/Awesome-Diffusion-Models is primarily written in HTML.
- How popular is Awesome-Diffusion-Models?
- diff-usion/Awesome-Diffusion-Models has 12.4k stars on GitHub.
- Where can I find Awesome-Diffusion-Models?
- diff-usion/Awesome-Diffusion-Models is on GitHub at https://github.com/diff-usion/Awesome-Diffusion-Models.