GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation.

Zhang Z, Dai W, Wang B, Li B, Yang B.

DOI: 10.1109/tpami.2025.3650165
Published: 2026-05-01
Container: IEEE Trans Pattern Anal Mach Intell
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2025.3650165,
  title = {GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation.},
  author = {Zhang Z and  Dai W and  Wang B and  Li B and  Yang B.},
  year = {2026},
  journal = {IEEE Trans Pattern Anal Mach Intell},
  doi = {10.1109/tpami.2025.3650165},
  url = {https://doi.org/10.1109/tpami.2025.3650165}
}

RIS

TY  - JOUR
TI  - GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation.
AU  - Zhang Z
AU  -  Dai W
AU  -  Wang B
AU  -  Li B
AU  -  Yang B.
PY  - 2026
JO  - IEEE Trans Pattern Anal Mach Intell
DO  - 10.1109/tpami.2025.3650165
UR  - https://doi.org/10.1109/tpami.2025.3650165
ER  -

APA

Z, Z., W, D., B, W., B, L., & B., Y. (2026). GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation.. IEEE Trans Pattern Anal Mach Intell. https://doi.org/10.1109/tpami.2025.3650165

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europe-pmc · retrieved 2026-09-25T23:20:30.062Z