colorization and Awesome-Image-Colorization

colorization

Established

Awesome-Image-Colorization

Established

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 13/25

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.

Uses a CNN trained on Lab color space to predict chrominance from grayscale luminance, with PyTorch inference optimized for minimal dependencies. Includes both fully automatic colorization and an interactive variant enabling user-guided hints via the SIGGRAPH 2017 model. Provides pretrained weights and preprocessing/postprocessing pipelines (Lab conversion, 256×256 resizing, full-resolution reconstruction) for straightforward integration into Python workflows.

About Awesome-Image-Colorization

MarkMoHR/Awesome-Image-Colorization

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

Related comparisons

colorization and interactive-deep-colorization colorization and ImageColorization

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