TransCC: Transformer-based Multiple Illuminant Color Constancy Using Multitask Learning. (arXiv:2211.08772v1 [cs.CV])

Multi-illuminant color constancy is a challenging problem with only a few
existing methods. For example, one prior work used a small set of predefined
white balance settings and spatially blended among them, limiting the solution
to predefined illuminations. Another method proposed a generative adversarial
network and an angular loss, yet the performance is suboptimal due to the lack
of regularization for multi-illumination colors. This paper introduces a
transformer-based multi-task learning method to estimate single and multiple
light colors from a …

arxiv color multitask learning transformer