YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy

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This resource provides a curated collection and taxonomy of research papers on diffusion models. It helps researchers, PhD students, and practitioners navigate the rapidly evolving field of generative AI by categorizing papers based on algorithmic enhancements (like sampling and likelihood maximization) and diverse applications (such as computer vision, natural language processing, and medical imaging). The output is a structured guide to relevant academic literature, making it easier to understand current trends and identify key studies.

3,336 stars. No commits in the last 6 months.

Use this if you are a researcher or practitioner in AI looking for a structured overview of diffusion models, their latest algorithmic improvements, or their applications across different domains.

Not ideal if you are looking for an introduction to diffusion models for beginners or if you need runnable code examples and practical implementation guides.

Generative AI Research Computer Vision Natural Language Processing Medical Imaging Time Series Analysis
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 19 / 25

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Last pushed

Sep 27, 2025

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