CloSe-D

CloSe-D是由马克斯·普朗克信息学研究所创建的大型3D服装分割数据集，包含3167个扫描数据，涵盖18种不同的服装类别。该数据集通过精细的分割标签，为训练3D服装分割模型提供了丰富的资源。数据集的创建过程涉及使用先进的扫描技术捕捉真实世界中的服装数据，并通过精细的标注过程确保数据质量。CloSe-D的应用领域广泛，包括娱乐、动画和数字时尚行业，旨在解决3D服装建模中的精细分割问题。

CloSe-D is a large-scale 3D clothing segmentation dataset developed by the Max Planck Institute for Informatics, consisting of 3,167 scanned samples spanning 18 distinct clothing categories. Equipped with fine-grained segmentation annotations, it provides abundant resources for training 3D clothing segmentation models. The creation of CloSe-D involves capturing real-world clothing data via advanced scanning technologies, and guarantees data quality through a meticulous annotation process. With wide-ranging applications across industries including entertainment, animation and digital fashion, CloSe-D aims to address the challenge of precise segmentation in 3D clothing modeling.