论文标题
通过特征转换和局部运动阶段的人类运动的实时风格建模
Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases
论文作者
论文摘要
控制角色在实时动画系统中移动的方式是有用的应用程序的挑战性任务。现有的样式传输系统需要访问参考内容运动剪辑，但是，在实时系统中，未来的运动内容未知且有可能通过用户输入更改。在这项工作中，我们提出了一个样式建模系统，该系统使用动画合成网络根据本地运动阶段建模运动内容。另一个样式调制网络使用特征转换来实时调节样式。为了评估我们的方法，我们创建并发布了一种新样式的建模数据集，即100style，其中包含100种不同样式的400万帧程式化的运动数据，这给现有系统带来了许多挑战。为了建模这些样式，我们使用无接触式公式扩展了本地相计算。与实时样式建模的其他方法相比，我们表明我们的系统在其样式表示方面更加强大，更有效，同时提高了运动质量。
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.
