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| File | Model | Size |
|---|---|---|
epoch250.pt | SPRIN (sparse PRIN, operates directly on sparse point clouds) | 112 MB |
state79.pkl | PRIN (Point-wise Rotation Invariant Network with spherical voxel convolution) | 1 MB |
1hf download qq456cvb/SPRIN epoch250.pt --local-dir sprin
2hf download qq456cvb/SPRIN state79.pkl --local-dir prin1python sprin/test.py # loads sprin/epoch250.pt
2python prin/test.py # loads prin/state79.pkl1@article{you2022prin,
2 title={PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features},
3 author={You, Yang and Lou, Yujing and Shi, Ruoxi and Liu, Qi and Tai, Yu-Wing and Ma, Lizhuang and Wang, Weiming and Lu, Cewu},
4 journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
5 volume={44},
6 number={12},
7 pages={9489--9502},
8 year={2022},
9 doi={10.1109/TPAMI.2021.3130590}
10}