Official codes for 'Domain Adversarial Learning for Color Constancy'
-
Updated
Mar 7, 2023 - Jupyter Notebook
Official codes for 'Domain Adversarial Learning for Color Constancy'
This project tries to simulate fluid dynamics, and fluid viscosity.
LIME: Low-Light Image Enhancement via Illumination Map Estimation
Functions to estimate illumination correction matrices from reference illumination samples.
This repository provides the official implementation of "Robust channel-wise illumination estimation." accepted in BMVC (2021).
Official implementation of 'Bag of Color Features For Color Constancy' (BoCF) accepted in IEEE Transactions on Image Processing (TIP) 2020
[ICCV'21] Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination
MATLAB Implementation of CVPR 2019 paper <<On Finding Gray Pixels>>
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.
This is the code corresponding to our CVPR ISIC 2020 paper.
Implementation of SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation"
Python implementation of two low-light image enhancement techniques via illumination map estimation
Add a description, image, and links to the illumination-estimation topic page so that developers can more easily learn about it.
To associate your repository with the illumination-estimation topic, visit your repo's landing page and select "manage topics."