skip to main content
10.1145/3532836.3536232acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
invited-talk

Self-Intersection-Aware Deformation Transfer for Garment Simulation Meshes

Published:24 July 2022Publication History

ABSTRACT

Deformation Transfer is a well-known technique which copies deformations between two meshes to re-use animation. One drawback of existing methods is that they can introduce self-intersections on the resulting mesh, even when there is no self-intersections on the source mesh. We propose a novel deformation transfer technique that suppresses self-intersections on the resulting target mesh, called Self-Intersection-aware Deformation Transfer (SIDT). We demonstrate that SIDT helps to produce simulation friendly mesh for garment simulation.

Skip Supplemental Material Section

Supplemental Material

3532836.3536232.mp4

References

  1. Yu Fang, Minchen Li, Chenfanfu Jiang, and Danny M. Kaufman. 2021. Guaranteed Globally Injective 3D Deformation Processing. ACM Trans. Graph. (SIGGRAPH) 40, 4, Article 75(2021).Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Yijing Li and Jernej Barbič. 2019. Multi-Resolution Modeling of Shapes in Contact. 2, 2, Article 12 (July 2019), 26 pages.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Richard A. Roberts, Rafael Kuffner dos Anjos, Akinobu Maejima, and Ken Anjyo. 2021. Deformation transfer survey. Computers & Graphics 94(2021), 52–61.Google ScholarGoogle ScholarCross RefCross Ref
  4. Min Tang, Sean Curtis, Sung-Eui Yoon, and Dinesh Manocha. 2009. ICCD: Interactive Continuous Collision Detection between Deformable Models Using Connectivity-Based Culling. IEEE Transactions on Visualization and Computer Graphics 15 (2009), 544–557.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Audrey Wong, David Eberle, and Theodore Kim. 2018. Clean Cloth Inputs: Removing Character Self-Intersections with Volume Simulation. In ACM SIGGRAPH 2018 Talks(SIGGRAPH ’18). Association for Computing Machinery, Article 42, 2 pages.Google 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)36
    • Downloads (Last 6 weeks)2

    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