zudi-lin/rcan-it
Revisiting RCAN: Improved Training for Image Super-Resolution
This project helps image processing practitioners enhance the resolution of their low-quality images. It takes a low-resolution image as input and outputs a significantly clearer, super-resolved version. Researchers and engineers working with image enhancement, restoration, or computational photography would find this tool useful.
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Use this if you need a robust, high-performing baseline for image super-resolution, particularly when working with a popular and well-understood model architecture like RCAN.
Not ideal if you are looking for a completely novel super-resolution architecture or a solution focused on non-CNN based methods.
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96
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15
Language
Python
License
MIT
Category
Last pushed
Jun 03, 2022
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