https://github.com/AlbanFlachot/color_constancy
공식 코드Deep Neural Models for color discrimination and color constancy
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Deep Neural Models for color discrimination and color constancy
Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
Artificial Color Constancy via GoogLeNet with Angular Loss Function
Model-Based Image Signal Processors via Learnable Dictionaries
DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
Lesion Elevation Prediction from Skin Images Improves Diagnosis
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
Learning Matchable Image Transformations for Long-term Metric Visual Localization
CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
The Visual Centrifuge: Model-Free Layered Video Representations
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.