While existing motion style transfer methods are effective between two
motions with identical content, their performance significantly diminishes when
transferring style between motions with different contents. This challenge lies
in the lack of clear separation between content and style of a motion. To
tackle this challenge, we propose a novel motion style transformer that
effectively disentangles style from content and generates a plausible motion
with transferred style from a source motion. Our distinctive approach to
achieving the goal of disentanglement is twofold: (1) a new architecture for
motion style transformer with 'part-attentive style modulator across body
parts' and 'Siamese encoders that encode style and content features
separately'; (2) style disentanglement loss. Our method outperforms existing
methods and demonstrates exceptionally high quality, particularly in motion
pairs with different contents, without the need for heuristic post-processing.
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基于新的模型架构和风格解耦损失，我们提出了一种有效解决在不同内容的运动之间进行风格传递的问题的运动风格转换器，它能够将风格与内容有效分离，并生成具有传入风格的逼真运动。我们的方法在各方面表现优于现有方法，在不同内容的运动对中表现出特别高的质量，而无需启发式后处理。