wentaoyuan/pcn
Code for PCN: Point Completion Network in 3DV'18 (Oral)
This project helps researchers and engineers working with 3D scanning data to reconstruct complete object shapes from incomplete scans. It takes a partial 3D point cloud, like a scan with gaps or occlusions, and outputs a dense, fully reconstructed 3D point cloud of the original object. This is ideal for those in robotics, computer vision, or 3D modeling who need to work with full object geometries.
477 stars. No commits in the last 6 months.
Use this if you need to automatically fill in missing data or 'complete' the shape of 3D objects represented as point clouds.
Not ideal if your primary need is not 3D shape completion, but rather 3D object detection or classification from complete point clouds.
Stars
477
Forks
86
Language
Python
License
MIT
Category
Last pushed
Nov 09, 2023
Commits (30d)
0
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