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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 d
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