Preprint Open access
A General Pipeline for Dense Illuminant Estimation via Physically Based Synthetic Data
Illuminant estimation is a fundamental problem in computational photography, as it enables the correction of color shifts induced by varying lighting conditions. While learning-based methods have demonstrated strong performance, their progress is hindered by the limited availability of large-scale datasets with accurat …