“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.

ShapeNet: An Information-Rich 3D Model Repository

Angel X. Chang, Thomas A. Funkhouser, Leonidas Guibas et al. · November 9, 2023 · Engineering

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,

Source page DOI: 10.5281/zenodo.10089705