Nick PaiPaper Study — Modeling the Lighting in Scenes as Style for Auto White-Balance Correction (WACV…In digital imaging, correcting auto white-balance (AWB) is essential to ensure accurate color reproduction under varying lighting…5d ago
Nick PaiPaper Study — Cross-Camera Convolutional Color Constancy (ICCV, 2021)Color constancy — the ability to accurately estimate the color of light illuminating a scene — is essential for producing images with…Nov 20
Nick PaiPaper Study — Deterministic Neural Illumination Mapping for Efficient Auto-White Balance Correction…Auto-white balance (AWB) correction is essential in digital imaging to ensure consistent color accuracy across varying lighting conditions…Dec 2Dec 2
Nick PaiPaper Study — Replacing Mobile Camera ISP with a Single Deep Learning Model (CVPR, 2020)Modern mobile cameras rely on intricate in-camera processing systems, called Image Signal Processors (ISPs), to transform raw sensor data…Nov 18Nov 18
Nick PaiPaper Study — Two-stage deep learning framework for sRGB image white balance (Signal, Image and…Correcting white-balance errors in sRGB images is challenging due to the nonlinear processing applied by camera image signal processors…Nov 29Nov 29
Nick PaiPaper Study — Modeling the Lighting in Scenes as Style for Auto White-Balance Correction (WACV…In digital imaging, correcting auto white-balance (AWB) is essential to ensure accurate color reproduction under varying lighting…5d ago
Nick PaiPaper Study — Cross-Camera Convolutional Color Constancy (ICCV, 2021)Color constancy — the ability to accurately estimate the color of light illuminating a scene — is essential for producing images with…Nov 20
Nick PaiPaper Study — Deterministic Neural Illumination Mapping for Efficient Auto-White Balance Correction…Auto-white balance (AWB) correction is essential in digital imaging to ensure consistent color accuracy across varying lighting conditions…Dec 2
Nick PaiPaper Study — Replacing Mobile Camera ISP with a Single Deep Learning Model (CVPR, 2020)Modern mobile cameras rely on intricate in-camera processing systems, called Image Signal Processors (ISPs), to transform raw sensor data…Nov 18
Nick PaiPaper Study — Two-stage deep learning framework for sRGB image white balance (Signal, Image and…Correcting white-balance errors in sRGB images is challenging due to the nonlinear processing applied by camera image signal processors…Nov 29
Nick PaiPaper Study — Deep White-Balance Editing (CVPR, 2020)White balance (WB) in photography adjusts color balance to account for different lighting conditions, helping scenes appear as if they were…Nov 15
Nick PaiPaper Study — Auto White-Balance Correction for Mixed-Illuminant Scenes (WACV, 2022)The paper addresses the challenges of achieving accurate white balance in scenes illuminated by multiple light sources. Traditional auto…Nov 27
Nick PaiPaper Study — Multiframe Auto White Balance (IEEE, 2011)Automatic white balance (AWB) is crucial in digital imaging to maintain color accuracy across diverse lighting conditions. Most traditional…Nov 11
