Afifi et. al. propose a method to improve the accuracy of statistical-based illumination estimation methods by applying an as-projective-as-possible bias-correction function (JOSA A, 2019). You can access the paper using this link and the code is also publicly available.

In another work, Afifi et. al. introduce a CNN-based novel sensor-independent illuminant estimation framework to learn a sensor-independent working space that can be used to canonicalize the RGB values of any arbitrary camera sensor (BMVC’19 – oral). You can access the paper using this link and the code is also publicly available.