colorization and Awesome-Image-Colorization

One is a specific deep learning model for image colorization, while the other is a collection of papers related to image and video colorization.

colorization
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 9/25
Adoption 10/25
Maturity 8/25
Community 19/25
Stars: 3,465
Forks: 933
Downloads:
Commits (30d): 0
Language: Python
License: BSD-2-Clause
Stars: 1,147
Forks: 110
Downloads:
Commits (30d): 3
Language:
License:
Stale 6m No Package No Dependents
No License No Package No Dependents

About colorization

richzhang/colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

This tool brings old black-and-white photos to life by automatically adding realistic colors. You provide a grayscale image, and it outputs a colorized version, making it useful for historians, archivists, or anyone looking to revitalize vintage imagery. It can also be used by digital artists or photographers seeking to quickly add color to line art or sketches.

photo-restoration historical-imaging digital-art image-enhancement archival-digitization

About Awesome-Image-Colorization

MarkMoHR/Awesome-Image-Colorization

:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

This is a curated collection of research papers and associated code/demos focused on image and video colorization. It helps you turn black-and-white images or videos into color, either fully automatically or with your guidance (like scribbles or reference images). This resource is ideal for researchers, digital artists, historians, or anyone interested in restoring or creatively re-interpreting monochromatic visual content.

image-restoration digital-art historical-photography video-enhancement computer-vision-research

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