subeeshvasu/Awesome-Deblurring resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2912 stars · 372 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of research papers, code, and datasets for image and video deblurring, covering both classical non-deep-learning methods and deep learning approaches. It organizes resources by task such as blind motion deblurring, defocus deblurring, stereo and burst deblurring, and benchmark datasets.

Use cases

• find papers on image deblurring
• research motion deblurring methods
• find deblurring benchmark datasets
• compare deep learning vs classical deconvolution approaches
• find code for video deblurring
• get started with image restoration research
• find defocus deblurring resources

When to choose

• you are surveying the deblurring research landscape
• you need a starting point to find papers, code, and datasets for blur removal
• you want to track recent deep-learning deblurring work

When to avoid

• you need a ready-to-use deblurring tool or library rather than a resource list
• you need restoration tasks other than deblurring, like denoising or super-resolution
• you need maintained, production-quality software

Facets

learning-resource · maturity active

image-processing computer-vision machine-learning computer-vision image-processing deep-learning awesome-lists cross-platform awesome-list deblurring deconvolution motion-blur video-restoration research-papers datasets

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markdown · JSON · MCP: product_card(name="subeeshvasu/Awesome-Deblurring")