SketchMetaFace:一种基于学习的素描界面,用于高准确度的3D人物面部建模
IEEE transactions on visualization and computer graphics
|July 19, 2023
概括
SketchMetaFace使业余用户能够使用直观的素描快速创建高保真度的3D面部模型. 这种新的系统,采用曲率感知图形和独特的基于学习的方法,简化了各种应用的3D建模.
科学领域:
- 计算机图形 计算机图形
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 在AR/VR,游戏和电影中,创建3D化身至关重要.
- 现有的3D面部建模工具复杂且耗时,即使对于专家来说也是如此.
- 目前基于素描的工具缺乏对创建各种面部形状和细节的业余爱好者的支持.
研究的目的:
- 介绍SketchMetaFace,这是一个新的素人素描系统,用于快速建模高保真3D面孔.
- 解决 3D 面部建模中用户友好性和细节生成的挑战.
- 开发一种高效,准确的方法,将二维草图映射到三维模型中.
主要方法:
- 开发了SketchMetaFace,具有用户友好的界面和曲率感知图案,用于详细的控制.
- 介绍了隐式和深度引导网格建模 (IDGMM),这是一个基于学习的方法,融合了网格,隐式和深度表示.
- 实现了一个粗到细的草图接口和一个数据驱动的冲动建议工具.
主要成果:
- 与现有工具相比,用户研究证实了SketchMetaFace在易用性和视觉质量方面的优势.
- 实验分析表明,IDGMM在准确性和计算效率之间取得了有利的平衡.
- 该系统可以在几分钟内生成高保真度的3D面部模型.
结论:
- SketchMetaFace显著降低了业余用户创建详细的3D面部模型的障碍.
- IDGMM方法为2D素描转换为3D模型提供了有效的解决方案.
- 该系统提高了各种应用程序的3D化身创建的可访问性和质量.
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