Controlling the manner in which a character moves in a real-time animation
system is a challenging task with useful applications. Existing style transfer
systems require access to a reference content motion clip, however, in
real-time systems the future motion content is unknown and liable to change
with user input. In this work we present a style modelling system that uses an
animation synthesis network to model motion content based on local motion
phases. An additional style modulation network uses feature-wise
transformations to modulate style in real-time. To evaluate our method, we
create and release a new style modelling dataset, 100STYLE, containing over 4
million frames of stylised locomotion data in 100 different styles that present
a number of challenges for existing systems. To model these styles, we extend
the local phase calculation with a contact-free formulation. In comparison to
other methods for real-time style modelling, we show our system is more robust
and efficient in its style representation while improving motion quality.

本研究提出了一种利用动画合成网络来模拟基于本地运动相的运动内容的风格建模系统，通过特征变换来实时调制风格，其在实时风格建模方面的鲁棒性和效率得到了提高。