Learning Detail Transfer based on Geometric Features

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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
The visual richness of computer graphics applications is frequently limited by the difficulty of obtaining high-quality, detailed 3D models. This paper proposes a method for realistically transferring details (specifically, displacement maps) from existing high-quality 3D models to simple shapes that may be created with easy-to-learn modeling tools. Our key insight is to use metric learning to find a combination of geometric features that successfully predicts detail-map similarities on the source mesh; we use the learned feature combination to drive the detail transfer. The latter uses a variant of multi-resolution non-parametric texture synthesis, augmented by a high-frequency detail transfer step in texture space. We demonstrate that our technique can successfully transfer details among a variety of shapes including furniture and clothing.
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@article{
10.1111:cgf.13132
, journal = {Computer Graphics Forum}, title = {{
Learning Detail Transfer based on Geometric Features
}}, author = {
Berkiten, Sema
and
Halber, Maciej
and
Solomon, Justin
and
Ma, Chongyang
and
Li, Hao
and
Rusinkiewicz, Szymon
}, year = {
2017
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.13132
} }
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