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Interactive GPU-based Decimation of Large Meshes

Published:07 August 2023Publication History

ABSTRACT

Remeshing and decimation algorithms are crucial for rendering levels of details on large geometry, as well as preparing meshes for the micro-mesh feature introduced with NVIDIA Ada generation. While remeshing is usually a time-consuming process running on a single or few CPU threads, we present a novel approach to the edge-collapse algorithm designed towards parallel, lock-free GPU decimation, allowing for interactive remeshing of large meshes.

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References

  1. Christopher DeCoro and Natalya Tatarchuk. 2007. Real-Time Mesh Simplification Using the GPU. In Proceedings of the 2007 Symposium on Interactive 3D Graphics and Games (Seattle, Washington) (I3D ’07). Association for Computing Machinery, New York, NY, USA, 161–166. https://doi.org/10.1145/1230100.1230128Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Michael Garland and Paul S. Heckbert. 1997. Surface Simplification Using Quadric Error Metrics. In Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques(SIGGRAPH ’97). ACM Press/Addison-Wesley Publishing Co., USA, 209–216. https://doi.org/10.1145/258734.258849Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Interactive GPU-based Decimation of Large Meshes

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '23: ACM SIGGRAPH 2023 Talks
      August 2023
      147 pages
      ISBN:9798400701436
      DOI:10.1145/3587421

      Copyright © 2023 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: 7 August 2023

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      • Refereed limited

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

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      SIGGRAPH '24
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