QingyongHu/SoTA-Point-Cloud resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1634 stars · 187 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official repository accompanying the IEEE TPAMI 2020 survey 'Deep Learning for 3D Point Clouds: A Survey'. It curates papers, datasets, and benchmark results for 3D point cloud tasks such as shape classification, object detection, and segmentation.

Use cases

• find state-of-the-art methods for 3d point cloud classification
• look up benchmark results on ModelNet40 and ScanObjectNN
• find datasets for 3d object detection research
• get an overview of deep learning approaches for point cloud segmentation
• start researching 3d deep learning for a literature review
• track recent papers on 3d point cloud tracking

When to choose

• you need a curated survey of point cloud deep learning methods with links to papers and datasets
• you want benchmark comparisons across public 3d datasets
• you are starting research in 3d vision and need a taxonomy of approaches

When to avoid

• you need runnable code or a library rather than a paper list
• you need coverage of methods published after the survey's last update
• you want a maintained tool with a software license

Facets

learning-resource · maturity maintenance

deep-learning computer-vision documentation computer-vision deep-learning machine-learning tutorials cross-platform point-clouds 3d-deep-learning survey awesome-list 3d-classification 3d-object-detection 3d-segmentation paper-list

Member repositories

For agents

markdown · JSON · MCP: product_card(name="QingyongHu/SoTA-Point-Cloud")