Neural Appearance Synthesis and Transfer
Holly Rushmeier and Reinhard Klein (Editors)
In proceedings of Workshop on Material Appearance Modeling, The Eurographics Association, July 2019
Abstract
Appearance acquisition is a challenging problem. Existing approaches require expensive hardware and acquisition times are long. Alternative “in-the-wild” few-shot approaches provide a limited reconstruction quality. Furthermore, there is a fundamental tradeoff between spatial resolution and the physical sample dimensions that can be captured in one measurement. In this paper, we investigate how neural texture synthesis and neural style transfer approaches can be applied to generate new materials with high spatial resolution from high quality SVBRDF measurements. We perform our experiments on a new database of measured SVBRDFs.
This publication is part of the SVBRDF database Bonn.
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Bibtex
@INPROCEEDINGS{mazlov2019neural,
author = {Mazlov, Ilya and Merzbach, Sebastian and Trunz, Elena and Klein, Reinhard},
editor = {Rushmeier, Holly and Klein, Reinhard},
title = {Neural Appearance Synthesis and Transfer},
booktitle = {Workshop on Material Appearance Modeling},
year = {2019},
month = jul,
publisher = {The Eurographics Association},
abstract = {Appearance acquisition is a challenging problem. Existing approaches require expensive hardware and
acquisition times are long. Alternative ``in-the-wild'' few-shot approaches provide a limited
reconstruction quality. Furthermore, there is a fundamental tradeoff between spatial resolution and
the physical sample dimensions that can be captured in one measurement. In this paper, we
investigate how neural texture synthesis and neural style transfer approaches can be applied to
generate new materials with high spatial resolution from high quality SVBRDF measurements. We
perform our experiments on a new database of measured SVBRDFs.}
}