PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding

Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su. PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pages 909-918, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{MoZCYTGS19,
  title = {PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding},
  author = {Kaichun Mo and Shilin Zhu and Angel X. Chang and Li Yi and Subarna Tripathi and Leonidas J. Guibas and Hao Su},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPR_2019/html/Mo_PartNet_A_Large-Scale_Benchmark_for_Fine-Grained_and_Hierarchical_Part-Level_3D_CVPR_2019_paper.html},
  researchr = {https://researchr.org/publication/MoZCYTGS19},
  cites = {0},
  citedby = {0},
  pages = {909-918},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}