Texture transfer using geometry correlation

Authors:
Tom Mertens;Jan Kautz;Jiawen Chen;Philippe Bekaert;Frédo Durand
Affiliations:
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA;University College London;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA;Hasselt University, Expertise Centre for Digital Media, Diepenbeek, Belgium and transnationale Universiteit Limburg, School of Information Technology;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
Venue:
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Year:
2006

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Abstract

Texture variation on real-world objects often correlates with underlying geometric characteristics and creates a visually rich appearance. We present a technique to transfer such geometry-dependent texture variation from an example textured model to new geometry in a visually consistent way. It captures the correlation between a set of geometric features, such as curvature, and the observed diffuse texture. We perform dimensionality reduction on the overcomplete feature set which yields a compact guidance field that is used to drive a spatially varying texture synthesis model. In addition, we introduce a method to enrich the guidance field when the target geometry strongly differs from the example. Our method transfers elaborate texture variation that follows geometric features, which gives 3D models a compelling photorealistic appearance.