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"

Date Created 2023-06-15 (about a year ago)

Commits 84 (last one 8 days ago)

Stargazers 607 (4 this week)

Watchers 12 (0 this week)

Forks 76

License mit

Ranking

RepositoryStats indexes 579,238 repositories, of these drprojects/superpoint_transformer is ranked #77,913 (87th percentile) for total stargazers, and #177,082 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #12,482/115,001.

drprojects/superpoint_transformer is also tagged with popular topics, for these it's ranked: deep-learning (#1,811/8339), pytorch (#1,199/5908), 3d (#228/1174), transformer (#178/992), semantic-segmentation (#85/506), point-cloud (#62/420)

Other Information

drprojects/superpoint_transformer has 2 open pull requests on Github, 7 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 155 closed issues.

All Topics

3d fast 3dv2024 pytorch iccv2023 efficient partition superpoint lightweight point-cloud transformer hierarchical partitioning deep-learning graph-clustering panoptic-segmentation semantic-segmentation

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84 commits on the default branch (master) since jan '22

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updated: 2024-11-06 @ 03:20pm, id: 654209013 / R_kgDOJv5v9Q