GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-wise Voting

(Category-level 6D pose estimation in desktop scenes.)
Yan Di, Ruida Zhang, Zhiqiang Lou, Fabian Manhardt, Xiangyang Ji, Nassir Navab, and Federico Tombari.
the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (CVPR), pages 6781-6791, 2022.
[pdf] [bibtex]

@inproceedings{ GPVPOSE,
    author    = { Yan Di and Ruida Zhang and Zhiqiang Lou and Fabian Manhardt and Xiangyang Ji and Nassir Navab and Federico Tombari },
    title     = {GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-wise Voting},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages     = {6781-6791},
    year      = {2022}
  }
  
@inproceedings{ GPVPOSE,
  author    = { Yan Di and Ruida Zhang and Zhiqiang Lou and Fabian Manhardt and Xiangyang Ji and Nassir Navab and Federico Tombari },
  title     = { GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-wise Voting },
  booktitle = { Proceedings of the the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (CVPR) },
  pages     = { 6781-6791 },
  year      = { 2022 }
}