repo_description: Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
repo_topics: 3d 3dv2024 deep-learning efficient fast graph-clustering hierarchical iccv2023 lightweight panoptic-segmentation partition partitioning point-cloud pytorch semantic-segmentation superpoint transformer
code: from .norm import *
  from .mlp import *
  from .pool import *
  from .unpool import *
  from .attention import *
  from .fusion import *
  from .dropout import *
  from .transformer import *
  from .stage import *
  from .position_encoding import *
  from .instance import *
  