统一的跨结构运动重定位用于人形角色
IEEE transactions on visualization and computer graphics
|April 10, 2024
概括
本研究介绍了一种统一的动态图形网络,用于跨不同角色骨架的运动重定位. 这种新的方法可以为动画和虚拟现实应用程序提供高效,无监督的跨结构运动传输.
科学领域:
- 计算机图形 计算机图形
- 动画动画 动画动画
- 机器学习 机器学习
背景情况:
- 目前的运动重定位方法与不同的骨结构作斗争.
- 现有的技术往往需要结构特定的模型设计和培训.
- 需要一个统一的方法来处理不同的角色骨架.
研究的目的:
- 开发一个统一的动态图形网络,用于在看不见的骨架结构中进行运动重定位.
- 为了实现高效和无监督的跨结构运动传输.
- 处理复杂的全身运动,包括手动画.
主要方法:
- 利用动态图形转换模块在不同的骨架结构之间传输潜移动特征.
- 模拟干和手关节作为图形以统一的方式进行全面的运动重定位.
- 使用来自不同结构的未配对运动数据的无监督学习策略.
主要成果:
- 拟议的统一动态图形网络与现有方法相比,表现出优越的性能.
- 在训练运动重定位模型的数据效率方面取得了显著的改进.
- 在已知和以前未见的骨结构上成功执行了跨结构运动重定位.
结论:
- 统一的动态图形网络提供了一种灵活有效的解决方案,用于跨不同骨结构的运动重定位.
- 该方法通过实现无的运动传输来推进动画制作和虚拟现实.
- 使用未配对数据进行无监督学习显著提高了运动重定位技术的实用性和适用性.
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