Awesome Deblurring
Explore a curated collection of resources about image and video deblurring methods and tools.
About Awesome Deblurring
Awesome Deblurring is a GitHub-hosted curated list of resources focused on image and video deblurring methods, tools, and related research. It organizes resources across categories including single-image blind motion deblurring (both non-deep learning and deep learning approaches), non-blind deblurring, multi-image and video motion deblurring, depth-aware deblurring, defocus deblurring, benchmark datasets, and AI photo enhancer applications. The list includes links to academic papers, code repositories, project pages, and benchmark results for listed works.
Key features
- Curated collection of image and video deblurring research resources
- Organizes resources by deblurring method and use case
- Includes links to academic papers, code, and project pages
- Covers non-deep learning and deep learning deblurring approaches
- Lists benchmark datasets for motion and defocus deblurring
- Includes resources for AI photo enhancer applications
Best for: It is most useful for researchers, developers, and engineers working on image or video deblurring projects seeking centralized access to relevant academic papers, code, and tooling resources.
Good for
- Centralizes a wide range of deblurring research and tooling resources in one location
- Categorizes resources by deblurring type for easier navigation
- Includes both traditional non-deep learning and modern deep learning deblurring resources
Watch out for
- Does not provide native deblurring functionality, only links to external resources
- Is not designated as an open source project
- As a curated list, it may not include all available deblurring resources or research
Awesome Deblurring at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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Awesome Deblurring FAQ
What types of deblurring resources are included in the list?
The list covers single-image blind motion deblurring (non-deep learning and deep learning), non-blind deblurring, multi-image and video motion deblurring, depth-aware deblurring, defocus deblurring, benchmark datasets, and AI photo enhancer apps.
Does this repository provide functional deblurring software?
No, it only aggregates links to external papers, code repositories, project pages, and related resources.
Can users suggest new resources to add to the list?
Yes, the repository includes a 'Suggest new item' option for submitting new resource recommendations.
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