Shapenet

doi:doi:10.57702/7p5czilj

Shapenet

Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they contain relatively complex textures.

BibTex:

@dataset{Angel_X_Chang_and_Thomas_Funkhouser_and_Leonidas_Guibas_and_Pat_Hanrahan_and_Qixing_Huang_and_Zimo_Li_and_Silvio_Savarese_and_Manolis_Savva_and_Shuran_Song_and_Hao_Su_2024,
    abstract = {Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they contain relatively complex textures.},
    author = {Angel X Chang and Thomas Funkhouser and Leonidas Guibas and Pat Hanrahan and Qixing Huang and Zimo Li and Silvio Savarese and Manolis Savva and Shuran Song and Hao Su},
    doi = {10.57702/7p5czilj},
    institution = {No Organization},
    keyword = {'3D Models', '3D Object', '3D Object Recognition', '3D Reconstruction', '3D Shapes', '3D model', '3D models', 'CAD datasets', 'Dataset', 'Meshes', 'Object Recognition', 'Object Reconstruction', 'Repository', 'Scene Understanding', 'ShapeNet', 'Shapenet', 'Textures', 'object recognition', 'point clouds', 'repository'},
    month = {nov},
    publisher = {TIB},
    title = {Shapenet},
    url = {https://service.tib.eu/ldmservice/dataset/shapenet},
    year = {2024}
}