Calibrate monitors to sRGB or other color spaces on NVIDIA GPUs, based on EDID data or ICC profiles

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

Apply 3D LUTs to the Windows desktop for system-wide color correction/calibration

Apply 3D LUTs to the Windows desktop for system-wide color correction/calibration

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

Dive and underwater image and video color correction

Reference code for the paper Auto White-Balance Correction for Mixed-Illuminant Scenes.

Godot 4 color correction tools similar to Video Editing apps + Post Processing Screen Effects, made with pure Visual Shaders in Godot 4.3.

An end-to-end video restoration project with open-source pretrained deep learning models

A color grading / correction filter for Monogame and XNA.

Color Correction, with Color Cards using CV2 Aruco

Calibrate monitors to sRGB or other color spaces on AMD GPUs, based on raw data or ICC profiles

C++ Automated white balance using lodepng and some color correction

Semantic information can help CNNs to get better illuminant estimation -- a proof of concept

A camera pipeline that allows accurate post-capture white balance editing (CIC best paper award, 2019)

A continuously updated collection of DCTLs (DaVinci Color Transform Language) designed to enhance and educate on workflows using ARRI LogC3, Gen5 and Cineon in DaVinci Resolve. This collection offers a photographic and creative approach to color correction and grading from log digital and film negatives.

Reference code for the paper Interactive White Balancing for Camera-Rendered Images Mahmoud Afifi and Michael S. Brown. In Color and Imaging Conference (CIC), 2020.