Shading Annotations in the Wild

Balazs Kovacs
Balazs Kovacs

CVPR, pp. 850-859, 2017.

Cited by: 22|Bibtex|Views36|DOI:https://doi.org/10.1109/CVPR.2017.97
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Understanding shading effects in images is critical for a variety of vision and graphics problems, including intrinsic image decomposition, shadow removal, image relighting, and inverse rendering. As is the case with other vision tasks, machine learning is a promising approach to understanding shading - but there is little ground truth sh...More

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