JonasSchult/Mask3D
A mask transformer model for 3D semantic instance segmentation built with PyTorch.
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Mask3D is a deep neural network model that performs 3D instance segmentation by predicting accurate semantic instances in point cloud data. It uses a transformer-based architecture and achieves state-of-the-art results on ScanNet, ScanNet200, S3DIS, and STPLS3D benchmarks. The model is implemented in PyTorch.
Frequently asked
- What is JonasSchult/Mask3D?
- A mask transformer model for 3D semantic instance segmentation built with PyTorch.
- Is Mask3D open source?
- Yes — JonasSchult/Mask3D is open source, released under the MIT license.
- What language is Mask3D written in?
- JonasSchult/Mask3D is primarily written in Python.
- How popular is Mask3D?
- JonasSchult/Mask3D has 734 stars on GitHub.
- Where can I find Mask3D?
- JonasSchult/Mask3D is on GitHub at https://github.com/JonasSchult/Mask3D.