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    Neural Appearance Synthesis and Transfer

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    Date
    2019
    Author
    Mazlov, Ilya
    Merzbach, Sebastian ORCID
    Trunz, Elena
    Klein, Reinhard ORCID
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    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.
    BibTeX
    @inproceedings {10.2312:mam.20191311,
    booktitle = {Workshop on Material Appearance Modeling},
    editor = {Klein, Reinhard and Rushmeier, Holly},
    title = {{Neural Appearance Synthesis and Transfer}},
    author = {Mazlov, Ilya and Merzbach, Sebastian and Trunz, Elena and Klein, Reinhard},
    year = {2019},
    publisher = {The Eurographics Association},
    ISSN = {2309-5059},
    ISBN = {978-3-03868-080-2},
    DOI = {10.2312/mam.20191311}
    }
    URI
    https://doi.org/10.2312/mam.20191311
    https://diglib.eg.org:443/handle/10.2312/mam20191311
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