HHAvatar:高斯的头部化身,具有动态毛发
IEEE transactions on pattern analysis and machine intelligence
|August 13, 2025
概括
HHAvatar使用可控制的3D高斯人创建高保真3D头像,擅长动态的头发建模和从稀疏视图中复杂的表达.
科学领域:
- 计算机视觉 计算机视觉
- 计算机图形 计算机图形
- 三维重建的3D重建
背景情况:
- 创建高保真度的3D头像是很有挑战性的,尤其是在有限的摄像头视图 (稀疏的视图).
- 现有的方法在稀疏条件下难以处理动态细节,如头发和准确的面部表情.
研究的目的:
- 提出HHAvatar,一种使用可控制的3D高斯人来创建高保真3D头像的新方法.
- 为了使动态的头发建模和精确的表情捕捉从稀疏的视图设置.
主要方法:
- 用3D高斯形态表示头部外观,并通过基于MLP的学习变形场对表达式进行优化.
- 采用几何导向的初始化策略,使用隐性标记距离场 (SDF) 和深度行进四面体进行稳定训练.
- 引入混合头模型和专门的训练方法,用于动态头发建模的时间和阻塞感知.
主要成果:
- HHAvatar在2K分辨率下实现超高保真染质量,超过了最先进的稀疏视图方法.
- 该方法成功地模拟了细粒度的动态细节,并确保了表达的准确性.
- 动态的头发运动可以合理地由头部运动驱动,即使在夸张的表情下.
结论:
- HHAvatar提供了一个强大的解决方案,用于从稀疏视图创建高保真3D头部化身.
- 3D高斯人,变形场和动态头发建模的整合推动了该领域的发展.
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