Python implementation of two low-light image enhancement techniques via illumination map estimation

Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation"

Implementation of SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild

[ICCV'21] Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination

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.

MATLAB Implementation of CVPR 2019 paper <<On Finding Gray Pixels>>

Official implementation of 'Bag of Color Features For Color Constancy' (BoCF) accepted in IEEE Transactions on Image Processing (TIP) 2020

This is the code corresponding to our CVPR ISIC 2020 paper.

This repository provides the official implementation of "Robust channel-wise illumination estimation." accepted in BMVC (2021).

Official codes for 'Domain Adversarial Learning for Color Constancy'

LIME: Low-Light Image Enhancement via Illumination Map Estimation

Functions to estimate illumination correction matrices from reference illumination samples.

This project tries to simulate fluid dynamics, and fluid viscosity.