De-lighting a High-resolution Picture for Material Acquisition

Martin, Rosalie; Meyer, Arthur; Pesare, Davide

De-lighting a High-resolution Picture for Material Acquisition

Files

069-072.pdf (9.95 MB)

Date

2019

Authors

Martin, Rosalie
Meyer, Arthur
Pesare, Davide

Publisher

The Eurographics Association

Abstract

We propose a deep-learning based method for the removal of shades, projected shadows and highlights from a single picture of a quasi-planar surface captured in natural lighting conditions with any kind of camera device. To achieve this, we train an encoder-decoder to process physically based materials, rendered under various lighting conditions, to infer its spatially-varying albedo. Our network processes relatively small image tiles (512x512 pixels) and we propose a solution to handle larger image resolutions by solving a Poisson system across these tiles.

        @inproceedings{10.2312:sr.20191222
,
booktitle = {Eurographics Symposium on Rendering - DL-only and Industry Track
},
editor = {Boubekeur, Tamy and Sen, Pradeep
},
title = {{De-lighting a High-resolution Picture for Material Acquisition
}},
author = {Martin, Rosalie and 
Meyer, Arthur and 
Pesare, Davide
},
year = {2019
},
publisher = {The Eurographics Association
},
ISSN = {1727-3463
},
ISBN = {978-3-03868-095-6
},
DOI = {10.2312/sr.20191222
}
}