What is learned in deep uncalibrated photometric stereo?
This paper targets at discovering what a deep uncalibrated photometric stereo network
learns to resolve the problem's inherent ambiguity, and designing an effective network
architecture based on the new insight to improve the performance. The recently proposed
deep uncalibrated photometric stereo method achieved promising results in estimating
directional lightings. However, what specifically inside the network contributes to its success
remains a mystery. In this paper, we analyze the features learned by this method and find …
learns to resolve the problem's inherent ambiguity, and designing an effective network
architecture based on the new insight to improve the performance. The recently proposed
deep uncalibrated photometric stereo method achieved promising results in estimating
directional lightings. However, what specifically inside the network contributes to its success
remains a mystery. In this paper, we analyze the features learned by this method and find …