EasyRy/RepKPU
Point Cloud Upsampling with Kernel Point Representation and Deformation
This project helps improve the resolution and detail of 3D point clouds, which are common in 3D scanning and computer vision. You provide a low-resolution point cloud, and it outputs a denser, more detailed version. This is ideal for 3D modelers, computer vision engineers, or anyone working with scanned 3D data who needs to enhance surface detail for analysis or visualization.
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Use this if you need to increase the density and detail of sparse 3D point clouds for better visualization, analysis, or further processing.
Not ideal if you're working with mesh models or other 3D data formats besides point clouds, or if you need to reconstruct a surface from scratch.
Stars
46
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jun 19, 2024
Commits (30d)
0
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