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· 2023

ShapeNet: An Information-Rich 3D Model Repository

Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan et al.

Short summary

ShapeNet is a new large-scale repository of 3D CAD models, organized by semantic categories and annotated with detailed information like alignments, parts, and symmetry planes.

AI-generated from the title and abstract; the full text is not read.

Key points

  • ShapeNet is a large-scale repository of 3D CAD models.
  • Models are organized by semantic categories and WordNet taxonomy.
  • Each model includes annotations for rigid alignments, parts, and symmetry.
  • It is designed to support research in 3D object understanding.

AI-generated from the title and abstract; the full text is not read.

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,

The authors' abstract, as published at the source., 2023 · DOI ↗

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Field: Computational Mechanics

Computational MechanicsEngineering