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Filtering noise in progressive stochastic ray tracing

Four optimizations to improve speed and robustness

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Abstract

We present an improved version of a state-of-the-art noise reduction technique for progressive stochastic rendering. Our additions make the method significantly faster at the cost of an acceptable loss in quality. Additionally, we improve the robustness of the method in the presence of difficult features like glossy reflection, caustics, and antialiased edges. We show with visual and numerical comparisons that our extensions improve the overall performance of the original approach and make it more broadly applicable.

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Acknowledgements

Assets used in this paper are courtesy of Stanford 3D Scanning Repository (Buddha) and Crytek GmbH/Marko Dabrovic (Sponza).

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Authors and Affiliations

  1. Fraunhofer IGD, Darmstadt, Germany

    Karsten Schwenk, Johannes Behr & Dieter W. Fellner

  2. TU Darmstadt, Darmstadt, Germany

    Dieter W. Fellner

  3. TU Graz, Graz, Austria

    Dieter W. Fellner

Authors
  1. Karsten Schwenk
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  2. Johannes Behr
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  3. Dieter W. Fellner
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Corresponding author

Correspondence to Karsten Schwenk.

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Schwenk, K., Behr, J. & Fellner, D.W. Filtering noise in progressive stochastic ray tracing. Vis Comput 29, 359–368 (2013). https://doi.org/10.1007/s00371-012-0738-4

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  • DOI: https://doi.org/10.1007/s00371-012-0738-4

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