shuchenweng/CT2
Official code for ECCV 2022 paper ``CT2: Colorization Transformer via Color Tokens"
This project helps artists, historians, and digital content creators bring old or monochrome images to life. It takes a grayscale image as input and produces a vibrantly colorized version, correcting issues like undersaturation or semantically incorrect colors without needing additional human input. Anyone working with black and white photos who wants to add realistic color can use this tool.
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Use this if you need to automatically colorize grayscale images, especially those that might have complex scenes or historical significance, to produce natural-looking, vibrant color photos.
Not ideal if you require precise, artistic control over specific color choices in certain areas, or if you plan to use the resulting images for commercial purposes without adhering to the non-commercial license.
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Python
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Last pushed
Jun 21, 2023
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