Mesh Parameterization Dataset

本数据集由麻省理工学院开发，包含337个来自数字艺术在线资源库的3D模型，旨在为实际应用中的参数化算法提供挑战性测试案例。数据集中的模型均配有艺术家设计的参数化，可用于直接比较自动参数化方法与艺术家提供的UV映射。数据集的应用领域包括网格纹理、重网格化、网格修复和编辑等，旨在通过实际用户对计算结果的评价来判断参数化方法的优劣。

This dataset was developed by the Massachusetts Institute of Technology (MIT), including 337 3D models sourced from an online digital art repository. Its primary purpose is to provide challenging test cases for parameterization algorithms in real-world applications. All models in the dataset are equipped with artist-designed parameterizations, enabling direct comparisons between automated parameterization methods and artist-provided UV mappings. The applicable fields of this dataset include mesh texturing, remeshing, mesh repair, and mesh editing, among others. The core goal is to evaluate the performance of parameterization methods through real user assessments of computational results.