skip to main content
10.1145/3532836.3536247acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
invited-talk

Powering up Rig Deformation: Shot Sculpting on DC League of Super-Pets

Published:24 July 2022Publication History

ABSTRACT

We present the shot sculpting toolset used on DC League of Super-Pets to enhance rig deformation in order to meet creative goals in animation shots. This toolset repurposes rigging tools, primarily Animal Logic’s proprietary deformation system Bond [Baillet et al. 2020], to give animators intuitive and flexible ways to expand upon a rig’s deformation stack and push the rig past its intended range of motion. Shot sculpting workflows have been fully integrated into our pipeline and designed for minimal playback speed loss, providing an overall seamless experience for artists.

References

  1. Aloys Baillet, Josh Murtack, Hongbin Hu, Haoliang Jiang, and Michael Quandt. 2020. Bond: USD-Integrated Hybrid CPU, GPU Deformation System. In ACM SIGGRAPH 2020 Talks (Virtual Event, USA) (SIGGRAPH ’20). Association for Computing Machinery, New York, NY, USA, Article 34, 2 pages. https://doi.org/10.1145/3388767.3407324Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Arunachalam Somasundaram, Felege Gebru, William Sokoloski, and Nate Yellig. 2021. DreamWorks Art-Driven Shot Sculpting Toolset. In ACM SIGGRAPH 2021 Talks (Virtual Event, USA) (SIGGRAPH ’21). Association for Computing Machinery, New York, NY, USA, Article 30, 2 pages. https://doi.org/10.1145/3450623.3464649Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Talks
    July 2022
    108 pages
    ISBN:9781450393713
    DOI:10.1145/3532836

    Copyright © 2022 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.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 24 July 2022

    Check for updates

    Qualifiers

    • invited-talk
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate1,822of8,601submissions,21%
  • Article Metrics

    • Downloads (Last 12 months)41
    • Downloads (Last 6 weeks)3

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format