charlesq34/pointnet-autoencoder
Autoencoder for Point Clouds
This helps researchers and engineers working with 3D models to automatically compress and reconstruct point cloud data. You input a raw 3D point cloud of an object, and it outputs a simplified yet faithful 3D point cloud representation. This is useful for anyone needing to efficiently store, transmit, or process large collections of 3D object scans or designs.
435 stars. No commits in the last 6 months.
Use this if you need to create compact representations of 3D objects from raw point cloud data while preserving their essential shape characteristics.
Not ideal if your primary goal is high-fidelity 3D reconstruction for tasks like CAD modeling or medical imaging where absolute geometric precision is critical.
Stars
435
Forks
86
Language
Python
License
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Category
Last pushed
Oct 08, 2023
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