Papers Color Constancy
“Color Constancy” 태그가 달린 논문 114편 · 필터 해제
SAFE: Scene-Aware Feature Modulation for Color Constancy with Learned Color Space in Pure-Color Scenes
Color constancy on pure-color scenes is challenging: when most pixels share a narrow band of hues, every chromaticity-based cue collapses to a single point and standard estimators become ambiguous. We propose a compact f…
Color ConstancyWhite-Balance First, Adjust Later: Cross-Camera Color Constancy via Vision-Language Evaluation
Color constancy aims to keep object colors consistent under varying illumination. Cross-camera generalization in color constancy remains challenging because learning-based models often overfit to the color response chara…
Color ConstancyColor Constancy in Hyperspectral Imaging via Reduced Spectral Spaces
Illuminant estimation aims to infer scene illumination from image measurements despite intrinsic ambiguities between surface reflectance and lighting. Most existing methods operate on trichromatic RGB images and are ther…
Dimensionality ReductionColor ConstancyBeyond Pixel Fidelity: Minimizing Perceptual Distortion and Color Bias in Night Photography Rendering
Night Photography Rendering (NPR) poses a significant challenge due to the extreme contrast between dark and illuminated areas in scenes, stemming from concurrent capture of severely dark regions alongside intense point …
Color ConstancyBio-inspired Color Constancy: From Gray Anchoring Theory to Gray Pixel Methods
Color constancy is a fundamental ability of many biological visual systems and a crucial step in computer imaging systems. Bio-inspired modeling offers a promising way to elucidate the computational principles underlying…
Color ConstancyFace anonymization preserving facial expressions and photometric realism
The widespread sharing of face images on social media platforms and in large-scale datasets raises pressing privacy concerns, as biometric identifiers can be exploited without consent. Face anonymization seeks to generat…
Face AnonymizationColor ConstancyHuman-Aligned Evaluation of a Pixel-wise DNN Color Constancy Model
We previously investigated color constancy in photorealistic virtual reality (VR) and developed a Deep Neural Network (DNN) that predicts reflectance from rendered images. Here, we combine both approaches to compare and …
Transfer LearningColor ConstancyEffects of the retina-inspired light intensity encoding on color discrimination performance
Color is an important source of information for visual functions such as object recognition, but it is greatly affected by the color of illumination. The ability to perceive the color of a visual target independent of il…
Object RecognitionColor ConstancyRL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes
Nighttime color constancy still remains a challenging problem in computational photography due to low-light noise and complex illumination conditions. We present RL-AWB, a novel framework combining statistical methods wi…
Reinforcement LearningColor ConstancyPerception-Inspired Color Space Design for Photo White Balance Editing
White balance (WB) is a key step in the image signal processor (ISP) pipeline that mitigates color casts caused by varying illumination and restores the scene's true colors. Currently, sRGB-based WB editing for post-ISP …
Color ConstancyQRetinex-Net: Quaternion-Valued Retinex Decomposition for Low-Level Computer Vision Applications
Images taken in low light often show color shift, low contrast, noise, and other artifacts that hurt computer-vision accuracy. Retinex theory addresses this by viewing an image S as the pixel-wise product of reflectance …
Color ConstancyFace DetectionIAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
Despite modifying only a small localized input region, adversarial patches can drastically change the prediction of computer vision models. However, prior methods either cannot perform satisfactorily under targeted attac…
Color ConstancyA Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement
Low-light image denoising and enhancement are challenging, especially when traditional noise assumptions, such as Gaussian noise, do not hold in majority. In many real-world scenarios, such as low-light imaging, noise is…
Color ConstancyDecoderDenoisingImage Denoising+2CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy
Computational color constancy, or white balancing, is a key module in a camera's image signal processor (ISP) that corrects color casts from scene lighting. Because this operation occurs in the camera-specific raw color …
Color ConstancyData AugmentationGCC: Generative Color Constancy via Diffusing a Color Checker
Color constancy methods often struggle to generalize across different camera sensors due to varying spectral sensitivities. We present GCC, which leverages diffusion models to inpaint color checkers into images for illum…
Color ConstancyData AugmentationIntegral Fast Fourier Color Constancy
Traditional auto white balance (AWB) algorithms typically assume a single global illuminant source, which leads to color distortions in multi-illuminant scenes. While recent neural network-based methods have shown excell…
Color ConstancyMulti-illuminant Color Constancy via Multi-scale Illuminant Estimation and Fusion
Multi-illuminant color constancy methods aim to eliminate local color casts within an image through pixel-wise illuminant estimation. Existing methods mainly employ deep learning to establish a direct mapping between an …
Color ConstancyPrimary visual cortex contributes to color constancy by predicting rather than discounting the illuminant: evidence from a computational study
Color constancy (CC) is an important ability of the human visual system to stably perceive the colors of objects despite considerable changes in the color of the light illuminating them. While increasing evidence from th…
Color ConstancyDouble opponency serves as a basis for color constancy
Color constancy (CC) is one of the important perceptual abilities of the human visual system, which states that despite changes in illumination, the perceived colors of surfaces generally tend to remain constant. Neverth…
Color ConstancyColorful Diffuse Intrinsic Image Decomposition in the Wild
Intrinsic image decomposition aims to separate the surface reflectance and the effects from the illumination given a single photograph. Due to the complexity of the problem, most prior works assume a single-color illumin…
Color ConstancyIntrinsic Image DecompositionInverse RenderingSpecular Reflection Mitigation