通过隐性频率嵌入为四面体字符的运动编辑
IEEE transactions on visualization and computer graphics
|March 3, 2025
概括
本研究介绍了一种两阶段模型,通过学习逆动力学 (IK) 约束来生成现实的虚拟字符运动. 该方法增强了姿势相似性,并使新的动作产生成为可能,提高了动画制作效率.
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:
- 为虚拟角色生成现实的动作序列对于3D动画和游戏开发至关重要.
- 实现自然的全身运动需要遵守特定的约束,以实现无的姿势过渡.
研究的目的:
- 介绍一种新的两阶段模型,用于从四肢角色姿势中学习反动力学 (IK) 约束.
- 为了提高虚拟角色生成的动作序列的准确性和多样性.
主要方法:
- 一个采用频率分析来分解运动姿势的两阶段模型,将其分解为基本级和风格级的组件.
- 将分解的姿势特征嵌入到潜伏空间中,使用精制的内核矩阵来处理连接角度,分解表示和IK约束.
- 实施基于编辑的IK约束生成新动作的搜索策略.
主要成果:
- 核心矩阵创建了一个紧分布的姿势相似性,并确保可信的采样与IK约束.
- 与最先进的合成方法相比,拟议的方法显示出具有竞争力的准确性.
- 该模型显示出在动画制作中实现高效率的巨大潜力.
结论:
- 开发的两阶段模型有效地学习了IK约束,以产生准确和多样化的虚拟字符运动.
- 该方法为提高3D动画和游戏内容创建的现实性和效率提供了有希望的解决方案.
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