标题： 视觉引导的网格修复 显示英文标题

标题： Visual-Guided Mesh Repair

摘要： 网格修复是计算机图形学及相关领域的一个长期挑战。 将有缺陷的网格转换为密封的流形网格可以极大地促进下游应用，例如几何处理、模拟、制造、学习和合成。 在本工作中，我们首先引入了基于光线追踪的可见性、方向性和开放性的三种视觉度量。 然后，我们提出了一种新的网格修复框架，该框架结合了视觉度量与几个关键步骤，即开放表面闭合、面重新定向和全局优化，以有效修复有缺陷的网格，包括间隙、孔洞、自相交、退化元素和不一致的方向。 我们的方法在不牺牲几何精度或视觉质量的同时，减少了不必要的网格复杂度，并保留了输入属性，如用于渲染的UV坐标。 我们在从ShapeNet和Thingi10K中随机选择的数百个模型上评估了我们的方法，与现有方法相比，证明了其有效性和鲁棒性。 显示英文摘要

摘要： Mesh repair is a long-standing challenge in computer graphics and related fields. Converting defective meshes into watertight manifold meshes can greatly benefit downstream applications such as geometric processing, simulation, fabrication, learning, and synthesis. In this work, we first introduce three visual measures for visibility, orientation, and openness, based on ray-tracing. We then present a novel mesh repair framework that incorporates visual measures with several critical steps, i.e., open surface closing, face reorientation, and global optimization, to effectively repair defective meshes, including gaps, holes, self-intersections, degenerate elements, and inconsistent orientations. Our method reduces unnecessary mesh complexity without compromising geometric accuracy or visual quality while preserving input attributes such as UV coordinates for rendering. We evaluate our approach on hundreds of models randomly selected from ShapeNet and Thingi10K, demonstrating its effectiveness and robustness compared to existing approaches.