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Scan2Avatar: Automatic Rigging for 3D Raw Human Scans

Published:17 August 2020Publication History

ABSTRACT

A powerful rigging pipeline is proposed to automatically rig the raw scans of human model with 1) fitting a Rigged Parametric Body Model (RPBM) to the scan with a novel and effective energy formulation, 2) cutting the scan to break self-occlusions automatically, 3) inpainting the geometry and texture in UV parametric space to create a complete avatar and 4) transferring the rigging information from the RPBM to the avatar. To further improve the fitting result, Semantic Deformation Component (SDC) is generated and utilized to replace the original shape blendshapes of the RPBM in the fitting stage, which can also be used for body reshaping. Our method is highly effective and robust in rigging the raw human scan models.

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References

  1. Adobe. [n.d.]. Mixamo: Animated 3D Characters.https://www.mixamo.com/#/Google ScholarGoogle Scholar
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  3. Andrew Feng, Dan Casas, and Ari Shapiro. 2015. Avatar reshaping and automatic rigging using a deformable model. In Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games. ACM, 57–64.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Thomas Neumann, Kiran Varanasi, Stephan Wenger, Markus Wacker, Marcus Magnor, and Christian Theobalt. 2013. Sparse localized deformation components. ACM Transactions on Graphics (TOG) 32, 6 (2013), 179.Google ScholarGoogle ScholarDigital LibraryDigital Library
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  • Published in

    cover image ACM Conferences
    SIGGRAPH '20: ACM SIGGRAPH 2020 Posters
    August 2020
    118 pages
    ISBN:9781450379731
    DOI:10.1145/3388770

    Copyright © 2020 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: 17 August 2020

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    • poster
    • Research
    • Refereed limited

    Acceptance Rates

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

    Upcoming Conference

    SIGGRAPH '24

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