Point Transformer V3
Assigns a semantic class to every point in a 3D scan.
- Field
- Cross-domain
- Method
- Deep learning
- Data it takes
- point-cloud
- License
- MIT
PTv3 is a general point-cloud segmentation backbone, trained on indoor scene benchmarks rather than any particular scientific domain. It labels each point with a class from whatever scheme it is trained on.
Where the forestry models answer a fixed question about trees, this is the starting point for a segmentation problem that has no existing model — a quarry face, a built structure, a cave survey. It needs labelled examples for the classes you care about.
Catalog entry last checked 2026-08-19. All models →
Run Point Transformer V3 on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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