Towards Learning-based Inverse Subsurface Scattering

Chengqian Che
Chengqian Che
Fujun Luan
Fujun Luan
Shuang Zhao
Shuang Zhao

ICCP, pp. 1-12, 2020.

Cited by: 0|Bibtex|Views32|DOI:https://doi.org/10.1109/ICCP48838.2020.9105209
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Given images of translucent objects, of unknown shape and lighting, we aim to use learning to infer the optical parameters controlling subsurface scattering of light inside the objects. We introduce a new architecture, the inverse transport network (ITN), that aims to improve generalization of an encoder network to unseen scenes, by conne...More

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