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"

980 132 +1/wk

GitHub

3d 3dv2024 deep-learning efficient fast graph-clustering hierarchical iccv2023 lightweight panoptic-segmentation partition partitioning

Trend 3

Star & Fork Trend (21 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 980

forks 132

Growth Velocity

drprojects/superpoint_transformer has +1 stars this period . 7-day velocity: 0.3%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	superpoint_transformer	deep-learning-keras-tf-tutorial	plato-research-dialogue-system	torch-rechub
Stars	980	981	979	981
Forks	132	1.9k	189	135
Weekly Growth	+1	+0	+0	+4
Language	Python	Jupyter Notebook	Python	Jupyter Notebook
Sources	1	1	1	1
License	MIT	N/A	Apache-2.0	MIT

Capability Radar vs deep-learning-keras-tf-tutorial

superpoint_transformer

deep-learning-keras-tf-tutorial

Maintenance Activity 79

Last code push 43 days ago.

Community Engagement 67

Fork-to-star ratio: 13.5%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 46

+1 stars this period — 0.10% growth rate.

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.