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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"

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/drprojects%2Fsuperpoint_transformer

Stars: 387
Forks: 56
Open Issues: 2

License: mit
Language: Python
Repo Size: 11.6 MB
Dependencies: 12

Created: 11 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Commit Stats

Commits: 39
Authors: 4
Mean commits per author: 9.75
Development Distribution Score: 0.205
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/drprojects/superpoint_transformer

Topics: 3d, deep-learning, efficient, fast, graph-clustering, hierarchical, lightweight, panoptic-segmentation, partition, partitioning, point-cloud, point-cloud-segmentation, pytorch, semantic-segmentation, speed, superpoint, superpoint-graphs, transformer

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