Image-based remapping of material appearance
Abstract
Digital 3D content creation requires the ability to exchange assets across multiple software applications. For many
3D asset types, standard formats and interchange conventions are available. For material definitions, however,
inter-application exchange is still hampered by different software packages supporting different BRDF models.
To make matters worse, even if nominally identical BRDF models are supported, these often differ in their implementation,
due to optimisations and safeguards in individual renderers. To facilitate appearance-preserving
translation between different BRDF models whose precise implementation is not known (arguably the standard
case with commercial systems), we propose a robust translation scheme which leaves BRDF evaluation to the
targeted rendering system, and which expresses BRDF similarity in image space. As we will show, even naive applications
of a nonlinear fit which uses such an image space residual metric work well in some cases; however, it
does suffer from instabilities for certain material parameters. We propose strategies to mitigate these instabilities
and perform reliable parameter remappings between differing BRDF definitions. We report on experiences with
this remapping scheme, both with respect to robustness and visual differences of the fits.
Publication
A. Sztrajman, J. Kĝivánek, A. Wilkie, and T. Weyrich.
Image-based remapping of material appearance.
Proceedings of Workshop on Material Appearance Modeling ...
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Acknowledgments
This project has received funding from the European
Unions Horizon 2020 research and innovation programme
under the Marie Sk³odowska-Curie grant agreement
No 642841 (DISTRO).
We would like to thank Cyrille Damez
from Allegorithmic for his support.
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