charlesq34/pointnet

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

5459 stars · 1489 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Reference implementation of PointNet, a neural network architecture that directly consumes unordered 3D point clouds for classification and part segmentation. Released with training code for ModelNet40 classification and ShapeNet Part segmentation.

Use cases

• classify 3D shapes from point clouds
• segment parts of 3D objects
• run semantic parsing on point cloud scenes
• learn a deep learning model for point sets
• reproduce PointNet CVPR 2017 results

When to choose

• you need the original PointNet implementation for research or benchmarking
• you work with raw point clouds in TensorFlow 1.x
• you want a baseline for point cloud classification or segmentation

When to avoid

• you need a maintained framework on modern TensorFlow or PyTorch
• you want production-ready 3D deep learning tooling
• you need recent point cloud architectures like PointNet++ or transformers

Facets

library · maturity maintenance

deep-learning machine-learning image-processing computer-vision deep-learning machine-learning python point-cloud 3d-classification part-segmentation tensorflow cvpr-2017 research-code linux gpu

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