GitHub / drprojects / superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
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Stars: 759
Forks: 99
Open issues: 1
License: mit
Language: Python
Size: 26 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 10 days ago
Pushed at: about 1 month ago
Last synced at: 6 days ago
Commit Stats
Commits: 39
Authors: 4
Mean commits per author: 9.75
Development Distribution Score: 0.205
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Topics: 3d, 3dv2024, deep-learning, efficient, fast, graph-clustering, hierarchical, iccv2023, lightweight, panoptic-segmentation, partition, partitioning, point-cloud, pytorch, semantic-segmentation, superpoint, transformer