Pytorch implementation of Ligeng Zhu and Brian Funt 's paper "Colorizing Color Images"
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Updated
Aug 13, 2018 - Python
Pytorch implementation of Ligeng Zhu and Brian Funt 's paper "Colorizing Color Images"
Cube++ is a novel dataset collected for illumination estimation problem. It has 4890 raw 18-megapixel images, each containing a SpyderCube color target in their scenes, manually labelled categories, and ground truth illumination chromaticities.
Deep Chromatic Adaptation.
An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.
Not a serious implementation of Deep white balance in Tensorflow. Aimed for personal learning.
Reference code for the paper Auto White-Balance Correction for Mixed-Illuminant Scenes.
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
A bunch of Automatic White-Balancing (AWB) Algorithm Implementations
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
Color Correction, with Color Cards using CV2 Aruco
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