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