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Color Constancy
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy
GCC: Generative Color Constancy via Diffusing a Color Checker
Integral Fast Fourier Color Constancy
Multi-illuminant Color Constancy via Multi-scale Illuminant Estimation and Fusion
Primary visual cortex contributes to color constancy by predicting rather than discounting the illuminant: evidence from a computational study
Double opponency serves as a basis for color constancy
Colorful Diffuse Intrinsic Image Decomposition in the Wild
Lesion Elevation Prediction from Skin Images Improves Diagnosis
Simple Image Signal Processing using Global Context Guidance
Self-Supervised Learning of Color Constancy
Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging
Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes
Investigating Color Illusions from the Perspective of Computational Color Constancy
Practical cross-sensor color constancy using a dual-mapping strategy
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection
MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning
Template matching with white balance adjustment under multiple illuminants
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry
Designing Perceptual Puzzles by Differentiating Probabilistic Programs
Learning Enriched Illuminants for Cross and Single Sensor Color Constancy
Model-Based Image Signal Processors via Learnable Dictionaries
Point Cloud Color Constancy
Robust channel-wise illumination estimation
Generative Models for Multi-Illumination Color Constancy
CLCC: Contrastive Learning for Color Constancy
Multi-color balance for color constancy
Illumination Estimation Challenge: experience of past two years
Deep Neural Models for color discrimination and color constancy
Cross-Camera Convolutional Color Constancy
The Cube++ Illumination Estimation Dataset
Underwater Image Color Correction by Complementary Adaptation
Shape, Illumination, and Reflectance from Shading
An Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior
Monte Carlo Dropout Ensembles for Robust Illumination Estimation
Probabilistic Color Constancy
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