VisionVerse/Blind-Motion-Deblurring-Survey
Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.
This is a comprehensive overview of techniques to remove motion blur from images. It surveys over 150 research papers and more than 30 deblurring methods, including CNN, RNN, GAN, Transformer, and Diffusion models. Researchers and developers working on image processing, computer vision, or digital photography can use this to understand current advancements and future directions in motion deblurring.
227 stars. No commits in the last 6 months.
Use this if you need a detailed summary and comparative analysis of existing deep learning methods for removing motion blur from still images.
Not ideal if you are looking for an off-the-shelf software tool to deblur images without diving into the underlying research.
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Python
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MIT
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Aug 11, 2025
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