Title
ShapeNet: An Information-Rich 3D Model Repository
Abstract
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.
Year
Venue
Field
2015
CoRR
CAD,Bilateral symmetry,Data visualization,Information retrieval,Computer science,Geometric analysis,WordNet,Computer graphics,Technical report
DocType
Volume
Citations 
Journal
abs/1512.03012
279
PageRank 
References 
Authors
7.54
13
13
Search Limit
100279
Name
Order
Citations
PageRank
Angel Chang1134058.19
Thomas A. Funkhouser27616475.01
Leonidas J. Guibas3130841262.73
Pat Hanrahan4110811148.97
Qixing Huang5185678.59
zimo li62797.54
Silvio Savarese73975161.69
manolis savva82797.54
Shuran Song9116646.06
Hao Su107343302.07
Jianxiong Xiao11232194.02
Li Yi1273224.97
Fisher Yu13128050.27