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A practical stochastic algorithm for rendering mirror-like flakes

Published:24 July 2016Publication History

ABSTRACT

Materials, such as snow, sand, metallic paints, rough plastics, and metals, often exhibit small-scale phenomena observed as bright sparkling or glittering surface features. These features become more pronounced under narrow-angle illumination and vary based on the orientation of the surface with respect to the viewer and light sources. Microfacet-based surface models, composed of a large finite number of microscopic mirror-like flakes, can mimic this effect. An associated microfacet BRDF and a memory-efficient stochastic algorithm are explored in [Jakob et al. 2014]. We present a new stochastic algorithm that inherits the good properties of the original algorithm, but does not require any precomputation; implements optimal importance sampling which is extended to efficiently sample wide and heavy-tailed microfacet distributions (i.e. GGX), and offers better overall performance. In addition, a triplanar mapping technique is employed to handle geometry without texture coordinates. The algorithm is both practical and easier to implement.

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References

  1. Idehy, H. 1999. Tracing ray differentials. In Proceedings of SIGGRAPH 99, ACM Press/Addison-Wesley Publishing Co. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Jakob, W., Haan, M., Yan, L.-Q., Lawrence, J., Ramamoorthi, R., and Marschner, S. 2014. Discrete stochastic microfacet models. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2014) 33, 4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Walter, B., Marschner, S., and Torrance, K. 2007. Microfacet models for refraction through rough surafaces. In Proceedings of the 18th Eurographics Conference on Rendering Techniques, 195--206. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '16: ACM SIGGRAPH 2016 Talks
      July 2016
      158 pages
      ISBN:9781450342827
      DOI:10.1145/2897839

      Copyright © 2016 Owner/Author

      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

      New York, NY, United States

      Publication History

      • Published: 24 July 2016

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      Overall Acceptance Rate1,822of8,601submissions,21%

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