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Improving Temporal Antialiasing with Adaptive Ray Tracing

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  • First Online: 26 February 2019
  • pp 353–370
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Ray Tracing Gems
Improving Temporal Antialiasing with Adaptive Ray Tracing
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  • Adam Marrs3,
  • Josef Spjut3,
  • Holger Gruen3,
  • Rahul Sathe3 &
  • …
  • Morgan McGuire3 
  • 68k Accesses

Abstract

In this chapter, we discuss a pragmatic approach to real-time supersampling that extends commonly used temporal antialiasing techniques with adaptive ray tracing. The algorithm conforms to the constraints of a commercial game engine, removes blurring and ghosting artifacts associated with standard temporal antialiasing, and achieves quality approaching 16× supersampling of geometry, shading, and materials within the 16 ms frame budget required of most games.

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Authors and Affiliations

  1. NVIDIA, Santa Clara, CA, USA

    Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe & Morgan McGuire

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  1. Adam Marrs
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  2. Josef Spjut
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  3. Holger Gruen
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  4. Rahul Sathe
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  5. Morgan McGuire
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Editor information

Editors and Affiliations

  1. Somerville, MA, USA

    Eric Haines

  2. Lund University, Lund, Sweden

    Tomas Akenine-Möller

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Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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© 2019 NVIDIA

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Marrs, A., Spjut, J., Gruen, H., Sathe, R., McGuire, M. (2019). Improving Temporal Antialiasing with Adaptive Ray Tracing. In: Haines, E., Akenine-Möller, T. (eds) Ray Tracing Gems. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4427-2_22

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  • DOI: https://doi.org/10.1007/978-1-4842-4427-2_22

  • Published: 26 February 2019

  • Publisher Name: Apress, Berkeley, CA

  • Print ISBN: 978-1-4842-4426-5

  • Online ISBN: 978-1-4842-4427-2

  • eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)

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