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Gravity Preloading for Maintaining Hair Shape Using the Simulator as a Closed-box Function

Published:24 July 2022Publication History

ABSTRACT

In animation, hair styles can often be modeled without the consideration of physics. One of the side effects of this workflow is that external forces such as gravity will deform the groom from the designed shape when simulated. We present a simple optimization algorithm that preloads the rest shape to compensate for the external forces to maintain the groom shape during simulation. The algorithm provides artistic control over how much force is compensated for at each vertex.

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References

  1. Xiang Chen, Changxi Zheng, Weiwei Xu, and Kun Zhou. 2014. An Asymptotic Numerical Method for Inverse Elastic Shape Design. ACM Transactions on Graphics, (Proc. of SIGGRAPH 2014) 33, 4(2014), to appear.Google ScholarGoogle Scholar
  2. Hayley Iben, Jacob Brooks, and Christopher Bolwyn. 2019. Holding the shape in hair simulation. In ACM SIGGRAPH 2019 Talks. 1–2.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Christopher D. Twigg and Zoran Kacic-Alesic. 2011. Optimization for Sag-Free Simulations. In Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, A. Bargteil and M. van de Panne (Eds.). The Eurographics Association. https://doi.org/10.2312/SCA/SCA11/225-236Google ScholarGoogle Scholar

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  • 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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 24 July 2022

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