charlesq34/pointnet-autoencoder

Autoencoder for Point Clouds

49
/ 100
Emerging

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.

3D-scanning computational-geometry computer-graphics CAD-design object-recognition
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

435

Forks

86

Language

Python

License

Last pushed

Oct 08, 2023

Commits (30d)

0

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