We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic categories and organizes them under the WordNet taxonomy. It is a collection of datasets providing many semantic annotations for each 3D model such as consistent rigid alignments, parts and bilateral symmetry planes, physical sizes, keywords, as well as other planned annotations. Annotations are made available through a public web-based interface to enable data visualization of object attributes, promote data-driven geometric analysis, and provide a large-scale quantitative benchmark for research in computer graphics and vision. At the time of this technical report, ShapeNet has indexed more than 3,000,000 models, 220,000 models out of which are classified into 3,135 categories (WordNet synsets). In this report we describe the ShapeNet effort as a whole, provide details for all currently available datasets, and summarize future plans.

ShapeNet是一个由语义类别组织的大规模3D CAD模型库，提供了一些语义标注，如一致的刚性对齐，部件和对称平面，物理大小，关键词及其他计划的标注，通过公共的 Web 界面提供数据可视化，促进数据驱动的几何分析，并为计算机图形和视觉研究提供大规模数量基准。

ShapeNet：一个信息丰富的3D模型库