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Practical Multiple-Scattering Sheen Using Linearly Transformed Cosines

Authors:

Tizian Zeltner,

Brent Burley,

Matt Jen-Yuan ChiangAuthors Info & Claims

SIGGRAPH '22: ACM SIGGRAPH 2022 Talks

Article No.: 7, Pages 1 - 2

https://doi.org/10.1145/3532836.3536240

Published: 24 July 2022 Publication History

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Abstract

We introduce a new volumetric sheen BRDF that approximates scattering observed in surfaces covered with normally-oriented fibers. Our previous sheen model was motivated by measured cloth reflectance, but lacked significant backward scattering. The model presented here allows a more realistic cloth appearance and can also approximate a dusty appearance. Our sheen model is implemented using a linearly transformed cosine (LTC) lobe fitted to a volumetric scattering layer. We detail the fitting process, and present and discuss our results.

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References

[1]

Brent Burley. 2012. Physically Based Shading at Disney. In ACM SIGGRAPH 2012 Course Notes — Practical Physically-Based Shading in Film and Game Production.

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Alejandro Conty and Christopher Kulla. 2017. Production Friendly Microfacet Sheen BRDF. In ACM SIGGRAPH 2017 Course Notes — Physically Based Shading in Theory and Practice.

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Eric Heitz, Jonathan Dupuy, Stephen Hill, and David Neubelt. 2016. Real-Time Polygonal-Light Shading with Linearly Transformed Cosines. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 35, 4 (jul 2016), 41:1–41:8. https://doi.org/10.1145/2897824.2925895

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Wenzel Jakob, Jonathan T. Moon, Adam Arbree, Kavita Bala, and Steve Marschner. 2010. A Radiative Transfer Framework for Rendering Materials with Anisotropic Structure. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 29, 10 (July 2010), 53:1–53:13. https://doi.org/10.1145/1778765.1778790

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Lucas SRibardière MPacanowski RBarla P(2024)A Fully-correlated Anisotropic Micrograin BSDF ModelACM Transactions on Graphics10.1145/365822443:4(1-14)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658224
Lucas SRibardiere MPacanowski RBarla P(2023)A Micrograin BSDF Model for the Rendering of Porous LayersSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618241(1-10)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618241
Khoo MLipson DVelasquez J(2023)Lighting and Look Dev for Skin Tones in Disney’s "Strange World"Proceedings of the 2023 Digital Production Symposium10.1145/3603521.3604297(1-5)Online publication date: 5-Aug-2023
https://dl.acm.org/doi/10.1145/3603521.3604297

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Published In

SIGGRAPH '22: ACM SIGGRAPH 2022 Talks

July 2022

108 pages

ISBN:9781450393713

DOI:10.1145/3532836

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 24 July 2022

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SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 7 - 11, 2022

BC, Vancouver, Canada

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Lucas SRibardière MPacanowski RBarla P(2024)A Fully-correlated Anisotropic Micrograin BSDF ModelACM Transactions on Graphics10.1145/365822443:4(1-14)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658224
Lucas SRibardiere MPacanowski RBarla P(2023)A Micrograin BSDF Model for the Rendering of Porous LayersSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618241(1-10)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618241
Khoo MLipson DVelasquez J(2023)Lighting and Look Dev for Skin Tones in Disney’s "Strange World"Proceedings of the 2023 Digital Production Symposium10.1145/3603521.3604297(1-5)Online publication date: 5-Aug-2023
https://dl.acm.org/doi/10.1145/3603521.3604297

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Efficient BRDF importance sampling using a factored representation

Complex Luminaires: Illumination and Appearance Rendering

Efficient BRDF importance sampling using a factored representation

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