In this paper, we present a face fairness framework for 3D meshes that preserves the regular shape of faces and is applicable to a variety of 3D mesh restoration tasks. Specifically, we present a number of desirable properties for any mesh restoration method and show that our framework satisfies them. We then apply our framework to two different tasks—mesh-denoising and mesh-refinement, and present comparative results for these two tasks showing improvement over other relevant methods in the literature.

中文翻译：

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3D 网格的人脸公平框架

在本文中，我们提出了一个用于 3D 网格的人脸公平框架，该框架保留了人脸的规则形状并适用于各种 3D 网格恢复任务。具体来说，我们为任何网格恢复方法提供了许多理想的属性，并表明我们的框架满足它们。然后，我们将我们的框架应用于两个不同的任务——网格去噪和网格细化，并展示这两个任务的比较结果，显示出对文献中其他相关方法的改进。