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Authors: Oliver Hixon-Fisher ; Jarek Francik and Dimitrios Makris

Affiliation: Kingston University, London, U.K.

Keyword(s): Motion Synthesis, Variational Auto-Encoder, Generative Adversarial Network, Adaptive Instance Normalization.

Abstract: In pose-centric motion synthesis, existing methods often depend heavily on architecture-specific mechanisms to comprehend temporal dependencies. This paper addresses this challenge by introducing the use of adaptive instance normalization layers to capture temporal coherence within pose-centric motion synthesis. We demonstrate the effectiveness of our contribution through state-of-the-art performance in terms of Fréchet Inception Distance (FID) and comparable diversity scores. Evaluations conducted on the CMU MoCap and the HumanAct12 datasets showcase our method’s ability to generate plausible and high-quality motion sequences, underscoring its potential for diverse applications in motion synthesis.

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Paper citation in several formats:
Hixon-Fisher, O., Francik, J. and Makris, D. (2025). Pose-Centric Motion Synthesis Through Adaptive Instance Normalization. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-728-3; ISSN 2184-4321, SciTePress, pages 39-47. DOI: 10.5220/0013102100003912

@conference{visapp25,
author={Oliver Hixon{-}Fisher and Jarek Francik and Dimitrios Makris},
title={Pose-Centric Motion Synthesis Through Adaptive Instance Normalization},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2025},
pages={39-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013102100003912},
isbn={978-989-758-728-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Pose-Centric Motion Synthesis Through Adaptive Instance Normalization
SN - 978-989-758-728-3
IS - 2184-4321
AU - Hixon-Fisher, O.
AU - Francik, J.
AU - Makris, D.
PY - 2025
SP - 39
EP - 47
DO - 10.5220/0013102100003912
PB - SciTePress

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