Color Constancy
35 papers with code • 1 benchmarks • 5 datasets
Color Constancy is the ability of the human vision system to perceive the colors of the objects in the scene largely invariant to the color of the light source. The task of computational Color Constancy is to estimate the scene illumination and then perform the chromatic adaptation in order to remove the influence of the illumination color on the colors of the objects in the scene.
Benchmarks
These leaderboards are used to track progress in Color Constancy
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
INTEL-TAU
VegFru
Rendered WB dataset
Cube++
LSMI
Most implemented papers
INTEL-TAU: A Color Constancy Dataset
firasl/BoCF
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In this paper, we describe a new large dataset for illumination estimation.
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
mahmoudnafifi/WB_color_augmenter
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ICCV 2019
There is active research targeting local image manipulations that can fool deep neural networks (DNNs) into producing incorrect results.
Cascading Convolutional Color Constancy
yhlscut/C4
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Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy.
A Multi-Hypothesis Approach to Color Constancy
huawei-noah/multi_hyp_cc
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CVPR 2020
Firstly, we select a set of candidate scene illuminants in a data-driven fashion and apply them to a target image to generate of set of corrected images.
Multi-Domain Learning for Accurate and Few-Shot Color Constancy
Given a new unseen device with limited number of training samples, our method is capable of delivering accurate color constancy by merely learning the camera-specific parameters from the few-shot dataset.
An Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior
Hazy environment attenuates the scene radiance and causes difficulty in distinguishing the color and texture of the scene.
The Cube++ Illumination Estimation Dataset
In this paper, a new illumination estimation dataset is proposed that aims to alleviate many of the mentioned problems and to help the illumination estimation research.
Cross-Camera Convolutional Color Constancy
mahmoudnafifi/C5
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ICCV 2021
We present "Cross-Camera Convolutional Color Constancy" (C5), a learning-based method, trained on images from multiple cameras, that accurately estimates a scene's illuminant color from raw images captured by a new camera previously unseen during training.
Deep Neural Models for color discrimination and color constancy
AlbanFlachot/color_constancy
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High levels of color constancy were achieved with different DNN architectures.
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement
zzyfd/STAR-pytorch
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ICCV 2021
STAR is a general architecture that can be easily adapted to different image enhancement tasks.
