microsoft/SpareNet
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
This project helps computer vision practitioners complete missing sections of 3D point cloud data, which often occurs when scanning real-world objects. It takes incomplete 3D point cloud scans as input and outputs a fully reconstructed, perceptually realistic 3D point cloud. This is ideal for researchers and engineers working with 3D scanning and reconstruction, particularly in fields like robotics or augmented reality.
151 stars. No commits in the last 6 months.
Use this if you need to accurately fill in missing parts of 3D point cloud data from real-world scans to create complete object models.
Not ideal if you are working with 2D image data or if your primary need is not 3D object reconstruction from incomplete scans.
Stars
151
Forks
19
Language
Python
License
MIT
Category
Last pushed
Apr 18, 2023
Commits (30d)
0
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