De-lighting a High-resolution Picture for Material Acquisition
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Date
2019
Journal Title
Journal ISSN
Volume Title
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.
Description
@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}
}