With the increase in computational power for the available hardware, the demand for high-resolution data in computer graphics applications increases. Consequently, classical geometry processing techniques based on linear algebra solutions are starting to become obsolete. In this setting, we propose a novel approach for tackling mesh deformation tasks on high-resolution meshes. By reducing the input size with a fast remeshing technique and preserving a consistent representation of the original mesh with local reference frames, we provide a solution that is both scalable and robust in multiple applications, such as as-rigid-as-possible deformations, non-rigid isometric transformations, and pose transfer tasks. We extensively test our technique and compare it against state-of-the-art methods, proving that our approach can handle meshes with hundreds of thousands of vertices in tens of seconds while still achieving results comparable with the other solutions.

翻译：随着可用硬件计算能力的提升，计算机图形学应用对高分辨率数据的需求日益增长。因此，基于线性代数解决方案的传统几何处理技术正逐渐过时。在此背景下，我们提出了一种处理高分辨率网格变形任务的新方法。通过快速重网格化技术缩减输入规模，并利用局部参考框架保持原始网格的一致性表示，我们提供了一种在多种应用中兼具可扩展性与鲁棒性的解决方案，例如尽可能刚性的变形、非刚性等距变换以及姿态迁移任务。我们对该技术进行了广泛测试，并与最先进方法进行了对比，证明我们的方法能够在数十秒内处理具有数十万个顶点的网格，同时仍能取得与其他解决方案相当的结果。