# ShapeNet: An Information-Rich 3D Model Repository

“ShapeNet: An Information-Rich 3D Model Repository” (2023), by Angel X. Chang et al. Engineering research paper. Original abstract below, unchanged. No free PDF was found.

- Authors: Angel X. Chang, Thomas A. Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su et al.
- Published: November 9, 2023
- Field: Engineering
- DOI: https://doi.org/10.5281/zenodo.10089705
- Source: https://doi.org/10.5281/zenodo.10089705

## Abstract

Authors listed alphabetically We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of ob-jects. ShapeNet contains 3D models from a multitude of semantic categories and organizes them under the Word-Net taxonomy. It is a collection of datasets providing many semantic annotations for each 3D model such as consis-tent rigid alignments, parts and bilateral symmetry planes,

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