Point Cloud Completion

Point Cloud Completion is a computational task in depth estimation that belongs to the broader category of 3D scene reconstruction, specifically defined as the process of generating geometrically accurate and structurally coherent full 3D point clouds from incomplete or sparse depth observations.

176

Publications

13.1K

Citations

642

Authors

202

Institutions

Publications per year

2017–2026

160

Authors

642

  1. YL
    Yu-Shen Liu

    Tsinghua University, China

    9 publications · 1.1K citations

    9

    h-index

  2. ZH
    Zhizhong Han

    Tsinghua University, China

    8 publications · 1.1K citations

    8

    h-index

  3. XW
    Xin Wen

    Tsinghua University, China

    7 publications · 1K citations

    7

    h-index

  4. YC
    Yan‐Pei Cao

    Tsinghua University, China

    6 publications · 748 citations

    6

    h-index

  5. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    6 publications · 483 citations

    6

    h-index

1–5 of 642

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 592 citations

    16

    h-index

  2. 9

    h-index

  3. IEEE Robotics and Automation Letters

    9 publications · 357 citations

    9

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 6 publications · 1.6K citations

    6

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 490 citations

    6

    h-index

1–5