Learning Detail Transfer based on Geometric Features (bibtex)
by Sema Berkiten, Maciej Halber, Justin Solomon, Chongyang Ma, Hao Li, Szymon Rusinkiewicz
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.
Reference:
Learning Detail Transfer based on Geometric Features (Sema Berkiten, Maciej Halber, Justin Solomon, Chongyang Ma, Hao Li, Szymon Rusinkiewicz), In Computer Graphics Forum, volume 36, 2017.
Bibtex Entry:
@article{berkiten_learning_2017,
	title = {Learning {Detail} {Transfer} based on {Geometric} {Features}},
	volume = {36},
	issn = {01677055},
	url = {http://onlinelibrary.wiley.com/doi/10.1111/cgf.13132/full},
	doi = {10.1111/cgf.13132},
	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.},
	number = {2},
	journal = {Computer Graphics Forum},
	author = {Berkiten, Sema and Halber, Maciej and Solomon, Justin and Ma, Chongyang and Li, Hao and Rusinkiewicz, Szymon},
	month = may,
	year = {2017},
	keywords = {Graphics, UARC, ARL, DoD},
	pages = {361--373}
}
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