Learnable Point Cloud Sampling Considering Seed Point for Neural Surface Reconstruction

Kohei Matsuzaki, Keisuke Nonaka

Open source

DOI: 10.1109/access.2024.3518620
Published: 2024
Container: IEEE Access
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/access.2024.3518620,
  title = {Learnable Point Cloud Sampling Considering Seed Point for Neural Surface Reconstruction},
  author = {Kohei Matsuzaki and Keisuke Nonaka},
  year = {2024},
  journal = {IEEE Access},
  doi = {10.1109/access.2024.3518620},
  url = {https://doi.org/10.1109/access.2024.3518620}
}

RIS

TY  - JOUR
TI  - Learnable Point Cloud Sampling Considering Seed Point for Neural Surface Reconstruction
AU  - Kohei Matsuzaki
AU  - Keisuke Nonaka
PY  - 2024
JO  - IEEE Access
DO  - 10.1109/access.2024.3518620
UR  - https://doi.org/10.1109/access.2024.3518620
ER  -

APA

Matsuzaki, K., & Nonaka, K. (2024). Learnable Point Cloud Sampling Considering Seed Point for Neural Surface Reconstruction. IEEE Access. https://doi.org/10.1109/access.2024.3518620

Source records

crossref · retrieved 2026-09-27T08:49:37.855Z