cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
This project provides advanced tools for improving the quality of images and videos. It takes blurry, noisy, or low-resolution visual content as input and transforms it into sharper, clearer, and more detailed versions. Scientists, forensic experts, designers, or anyone working with visual data that needs enhancement can use this to restore degraded media.
3,444 stars. No commits in the last 6 months.
Use this if you need to significantly enhance the visual quality of degraded images or videos, such as denoising, deblurring, or increasing resolution.
Not ideal if you are looking for simple, one-click image adjustments like color correction or cropping, as this focuses on complex restoration tasks.
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3,444
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686
Language
Python
License
MIT
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Last pushed
Oct 02, 2024
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