Journal
COMPUTER GRAPHICS FORUM
Volume 39, Issue 2, Pages 497-507Publisher
WILEY
DOI: 10.1111/cgf.13947
Keywords
CCS Concepts; . Computing methodologies -> Neural networks
Categories
Funding
- National Research Foundation of Korea (NRF) - Korea government (MSIT) [NRF-2017M3C4A7066316, NRF2016-R1A2B3014319]
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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.
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