colorization and ImageColorization

Given their similar descriptions, these two tools are competitors, with richzhang/colorization being a more established and recognized deep neural network approach as evidenced by its higher star count and publication in a top-tier computer vision conference.

colorization
51
Established
ImageColorization
33
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 18/25
Stars: 3,465
Forks: 933
Downloads:
Commits (30d): 0
Language: Python
License: BSD-2-Clause
Stars: 29
Forks: 15
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m 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 ImageColorization

PrimozGodec/ImageColorization

Image and video colorizer is package for automatic image and video colorization. Models are allready trained

This tool automatically converts black and white images and videos into colorized versions. You provide your grayscale photos or video clips, and it outputs the same media but with colors added. It's designed for anyone working with historical archives, old family photos, or artistic projects who wants to bring vintage visual media to life with color.

photo-restoration video-enhancement historical-archives digital-art media-conversion

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