Concerto
Creates point-cloud embeddings learned jointly from 3D scans and 2D imagery.
- Field
- Cross-domain
- Method
- Foundation model
- Data it takes
- point-cloud, imagery
- License
- Apache-2.0 code, CC-BY-NC-4.0 weights — restricted use
Concerto trains on 3D scans and 2D images together, so its representations carry information from both. Where a survey has co-registered photography alongside lidar, that pairing is available to the model rather than discarded.
Like Sonata it is self-supervised, so it needs no labels to train, only labels for whatever task sits on top.
The code is Apache-2.0 but the weights are non-commercial.
Catalog entry last checked 2026-08-19. All models →
Run Concerto 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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