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Procedural Block-Based USD Workflows in Conduit

Published:06 August 2021Publication History

ABSTRACT

We present a procedural block-based approach for USD pipelines that minimizes up-front USD knowledge requirements while ensuring users can still leverage the power of native USD. Building on USD and Conduit, we define fundamental workflow principles and philosophies on artist-interaction that guide our modular Houdini-based toolsets. Finally, we discuss the successes and challenges in scaling these workflows into production.

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References

  1. Rebecca Hallac, Tim Hoff, Chris Rydalch, Oliver Staeubli, Ryan Bland, Karyn Buczek Monschein, and Mark McGuire. 2021. A Pipeline Retrospective on USD & Conduit. In ACM SIGGRAPH 2021 Talks (Virtual Event, USA) (SIGGRAPH ’21). Association for Computing Machinery.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Oliver Staeubli, Tim Hoff, Ryan Bland, Rebecca Hallac, Josh Smeltzer, Chris Rydalch, Karyn Buczek Monschein, and Mark McGuire. 2019. Conduit: A Modern Pipeline for the Open Source World. In ACM SIGGRAPH 2019 Talks (Los Angeles, California) (SIGGRAPH ’19). Association for Computing Machinery, New York, NY, USA, Article 47, 2 pages. https://doi.org/10.1145/3306307.3328175Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '21: ACM SIGGRAPH 2021 Talks
      July 2021
      116 pages
      ISBN:9781450383738
      DOI:10.1145/3450623

      Copyright © 2021 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: 6 August 2021

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