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Example-Based Microstructure Rendering with Constant Storage

Beibei Wang 1 Miloš Hašan 2 Nicolas Holzschuch 3 Ling-Qi Yan 4
3 MAVERICK - Models and Algorithms for Visualization and Rendering
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : Rendering glinty details from specular microstructure enhances the level of realism, but previous methods require heavy storage for the high-resolution height field or normal map and associated acceleration structures. In this article, we aim at dynamically generating theoretically infinite microstructure, preventing obvious tiling artifacts, while achieving constant storage cost. Unlike traditional texture synthesis, our method supports arbitrary point and range queries, and is essentially generating the microstructure implicitly. Our method fits the widely used microfacet rendering framework with multiple importance sampling (MIS), replacing the commonly used microfacet normal distribution functions (NDFs) like ground glass distribution (GGX) by a detailed local solution, with a small amount of runtime performance overhead.
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https://hal.inria.fr/hal-03156347
Contributor : Nicolas Holzschuch <>
Submitted on : Tuesday, March 2, 2021 - 2:00:55 PM
Last modification on : Wednesday, March 10, 2021 - 3:04:06 PM

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Beibei Wang, Miloš Hašan, Nicolas Holzschuch, Ling-Qi Yan. Example-Based Microstructure Rendering with Constant Storage. ACM Transactions on Graphics, Association for Computing Machinery, 2020, 39 (5), pp.1-12. ⟨10.1145/3406836⟩. ⟨hal-03156347⟩

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