Automated shape repair approaches currently lack access to datasets that
describe real-world damaged geometry. We present Fantastic Breaks (and Where to
Find Them:
this https URL), a
dataset containing scanned, waterproofed, and cleaned 3D meshes for 150 broken
objects, paired and geometrically aligned with complete counterparts. Fantastic
Breaks contains class and material labels, proxy repair parts that join to
broken meshes to generate complete meshes, and manually annotated fracture
boundaries. Through a detailed analysis of fracture geometry, we reveal
differences between Fantastic Breaks and synthetic fracture datasets generated
using geometric and physics-based methods. We show experimental shape repair
evaluation with Fantastic Breaks using multiple learning-based approaches
pre-trained with synthetic datasets and re-trained with subset of Fantastic
Breaks.

本文介绍了 “Fantastic Breaks (和它们在哪里找到)” 数据集，该数据集包含 150 个 3D 损坏的物体的扫描、防水和清理网格，以及完整对应物体的几何对齐。通过对破裂几何的详细分析，揭示了 Fantastic Breaks 和使用基于几何学和基于物理的方法生成的合成断裂数据集之间的差异，并使用该数据集进行了实验形状修复评估。