Pipelining Processors for Decomposing Character Animation

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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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3641825.3689533
Citations
3
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
0.98
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article

Pipelining Processors for Decomposing Character Animation

Carolin Wienrich, Florian Kern, Christian Merz, Jean-Luc Lugrin et al.
3 citations
Human Motion and Animation
0.98
article

Pipelining Processors for Decomposing Character Animation

Carolin Wienrich, Florian Kern, Christian Merz, Jean-Luc Lugrin, Marc Erich Latoschik, Jonathan Tschanter
article en
3 citations

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.

University of Würzburg (DE)
Openalex Percentile: Top 24%
Human Motion and Animation
0.98
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Pipelining Processors for Decomposing Character Animation — Carolin Wienrich, Florian Kern, et al. · (2024) | TGRS Research Map | TGRS