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abstract

Pipelining Processors for Decomposing Character Animation

Published: 09 October 2024 Publication History

Abstract

This paper presents an openly available implementation of a modular pipeline architecture for character animation. It effectively decomposes frequently necessary processing steps into dedicated character processors, such as copying data from various motion sources, applying inverse kinematics, or scaling the character. Processors can easily be parameterized, extended (e.g., with AI), and freely arranged or even duplicated in any order necessary, greatly reducing side effects and fostering fine-tuning, maintenance, and reusability of the complex interplay of real-time animation steps.

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References

[1]
Jascha Achenbach, Thomas Waltemate, Marc Erich Latoschik, and Mario Botsch. 2017. Fast generation of realistic virtual humans. In Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology (Gothenburg, Sweden) (VRST ’17). Association for Computing Machinery, New York, NY, USA, Article 12, 10 pages. https://doi.org/10.1145/3139131.3139154
[2]
Alessandro Clocchiatti. 2024. Self-Avatar Motion Retargeting for Virtual Reality Post-Stroke Rehabilitation Therapy. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. 1–4. https://doi.org/10.1145/3613905.3651131
[3]
Florian Kern and Marc Erich Latoschik. 2023. Reality Stack I/O: A Versatile and Modular Framework for Simplifying and Unifying XR Applications and Research. In 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). 74–76. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00023
[4]
Marc Erich Latoschik, Florian Kern, Jan-Philipp Stauffert, Andrea Bartl, Mario Botsch, and Jean-Luc Lugrin. 2019. Not Alone Here?! Scalability and User Experience of Embodied Ambient Crowds in Distributed Social Virtual Reality. IEEE Transactions on Visualization and Computer Graphics (TVCG)5 (2019), 2134–2144. https://ieeexplore.ieee.org/document/8643417
[5]
Shane L. Rogers, Rebecca Broadbent, Jemma Brown, Alan Fraser, and Craig P. Speelman. 2022. Realistic Motion Avatars are the Future for Social Interaction in Virtual Reality. Frontiers in Virtual Reality 2 (2022). https://doi.org/10.3389/frvir.2021.750729

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  1. Pipelining Processors for Decomposing Character Animation

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    cover image ACM Conferences
    VRST '24: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology
    October 2024
    633 pages
    ISBN:9798400705359
    DOI:10.1145/3641825
    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: 09 October 2024

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    Author Tags

    1. Agents
    2. Avatars
    3. Embodiment
    4. Extended Reality.
    5. Humanoid Characters
    6. Open-Source
    7. Virtual Humans
    8. Virtual Reality

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    • Abstract
    • Research
    • Refereed limited

    Funding Sources

    • Bundesministerium für Bildung und Forschung
    • Bayerisches Staatsministerium für Digitales

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    VRST '24

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    Overall Acceptance Rate 66 of 254 submissions, 26%

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