Awesome-Deblurring

Why we included this project

Deblurring research is scattered across dozens of venues, and this list does the sorting for you. It groups papers by the kind of problem you are actually trying to solve, so you can go straight to single-image blind motion deblurring, non-blind deconvolution, video or multi-image methods, depth-aware approaches, or defocus deblurring without digging through unrelated work. Every entry points to the original paper and, when the authors released it, the code or project page, which matters when you want to reproduce a baseline or compare against a specific method. The list also collects the benchmark datasets the field relies on and a handful of consumer photo-enhancer apps, covering both the research side and the practical tools. Since it includes classical optimization work alongside deep-learning methods, it works as an entry point for newcomers and a reference for people tracking the state of the art.