Neural Appearance Synthesis and Transfer

Holly Rushmeier and Reinhard Klein (Editors)

Ilya Mazlov, Sebastian Merzbach, Elena Trunz, and Reinhard Klein

In proceedings of Workshop on Material Appearance Modeling, The Eurographics Association, 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.

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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},
  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.}
}