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Bounded VNDF Sampling for Smith–GGX Reflections

Published:28 November 2023Publication History

ABSTRACT

Sampling according to a visible normal distribution function (VNDF) is often used to sample rays scattered by glossy surfaces, such as the Smith–GGX microfacet model. However, for rough reflections, existing VNDF sampling methods can generate undesirable reflection vectors occluded by the surface. Since these occluded reflection vectors must be rejected, VNDF sampling is inefficient for rough reflections. This paper introduces an unbiased method to reduce the number of rejected samples for Smith–GGX VNDF sampling. Our method limits the sampling range for a state-of-the-art VNDF sampling method that uses a spherical cap-based sampling range. By using our method, we can reduce the variance for highly rough and low-anisotropy surfaces. Since our method only modifies the spherical cap range in the existing sampling routine, it is simple and easy to implement.

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References

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  1. Bounded VNDF Sampling for Smith–GGX Reflections

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    • Published in

      cover image ACM Conferences
      SA '23: SIGGRAPH Asia 2023 Technical Communications
      November 2023
      127 pages
      ISBN:9798400703140
      DOI:10.1145/3610543

      Copyright © 2023 ACM

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      Publication History

      • Published: 28 November 2023

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