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QingyongHu / SoTA-Point-Cloud

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
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How about 3D reconstruction and point cloud completion? #2

Open hzxie opened 4 years ago

hzxie commented 4 years ago

One of the important fields in 3D vision is 3D reconstruction. However, it is not included in your paper. Could you add it to your paper?

hzxie commented 4 years ago

BTW, there are some grammar errors in the manuscript:

  1. Page 5: DGCNN [60] to improve its performance and reduce the mode size -> model size.
  2. Hassani et al. [64] proposed -> Hassani and Haley [64] proposed

You cannot use et al. if the number of authors is fewer than 3.

hzxie commented 4 years ago

Thank you for this very comprehensive review. It makes a great contribution to the research community.

QingyongHu commented 4 years ago

Hi @hzxie, thanks for your interest and valuable suggestions for our work. This is an ongoing work and we will add this to the next version of the preprint.

hamidlaga commented 4 years ago

For 3D reconstruction, please refer to this recent IEEE PAMI survey:https://ieeexplore.ieee.org/document/8908779

hzxie commented 4 years ago

@hamidlaga I read this survey several months ago on arXiv. It is also a wonderful review for 3D reconstruction.