Motion Retargetting based on Dilated Convolutions and Skeleton-specific Loss Functions
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Motion retargetting refers to the process of adapting the motion of a source character to a target. This paper presents a motion retargetting model based on temporal dilated convolutions. In an unsupervised manner, the model generates realistic motions for various humanoid characters. The retargetted motions not only preserve the high-frequency detail of the input motions but also produce natural and stable trajectories despite the skeleton size differences between the source and target. Extensive experiments are made using a 3D character motion dataset and a motion capture dataset. Both qualitative and quantitative comparisons against prior methods demonstrate the effectiveness and robustness of our method.
Description
@article{10.1111:cgf.13947,
journal = {Computer Graphics Forum},
title = {{Motion Retargetting based on Dilated Convolutions and Skeleton-specific Loss Functions}},
author = {Kim, SangBin and Park, Inbum and Kwon, Seongsu and Han, JungHyun},
year = {2020},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13947}
}