mahmoudnafifi/HistoGAN
Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
This project helps graphic designers, photographers, and digital artists precisely control the color palette of images. You provide an image and a 'target' color profile (a color histogram), and it generates a new version of your image with those specific colors, while keeping the original content intact. This tool is for creative professionals who need fine-grained control over image color and style.
291 stars. No commits in the last 6 months.
Use this if you need to recolor existing images or generate new images with a specific, predefined color scheme, like matching brand guidelines or creating a consistent aesthetic across a series of visuals.
Not ideal if you're looking for simple color adjustments like brightness or contrast, or if your primary goal is general image enhancement without a specific target color profile.
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291
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Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 25, 2023
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