howardyclo/CLCC-CVPR21
An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.
This project helps professional photographers, videographers, and image processing specialists correct unrealistic color casts in digital images. It takes raw image files and associated color checker data as input, and outputs color-corrected images that appear more natural and true-to-life. The primary users are those who need to ensure accurate color representation across various lighting conditions.
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Use this if you need to automatically adjust the white balance and color accuracy of images captured under diverse lighting, without manual tweaking.
Not ideal if you are looking for a simple, off-the-shelf application for basic photo editing or if you do not have access to raw image data and color checker information.
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Python
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Mar 09, 2022
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