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Improving robustness of Monte-Carlo global illumination with directional regularization

Published:19 November 2013Publication History

ABSTRACT

Directional regularization offers great potential to improve the convergence rates of Monte-Carlo-based global illumination algorithms. In this paper, we show how it can be applied successfully by combining unbiased bidirectional strategies, photon mapping, and biased directional regularization.

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References

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  • Published in

    cover image ACM Conferences
    SA '13: SIGGRAPH Asia 2013 Technical Briefs
    November 2013
    135 pages
    ISBN:9781450326292
    DOI:10.1145/2542355
    • Conference Chairs:
    • Baoquan Chen,
    • Andrei Sharf

    Copyright © 2013 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 19 November 2013

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    Overall Acceptance Rate178of869submissions,20%

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