mabaorui/OnSurfacePrior
Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors
This helps professionals working with 3D data to create detailed, smooth surfaces from incomplete or sparse 3D scans. You provide a set of scattered 3D points (a point cloud), and it outputs a complete 3D mesh model that accurately represents the object or scene. This is ideal for 3D scanning technicians, architects, or anyone needing to reconstruct physical objects digitally.
190 stars. No commits in the last 6 months.
Use this if you need to generate high-quality 3D models from raw, sparse 3D point cloud data obtained through scanning or other capture methods.
Not ideal if you already have dense, complete 3D meshes or if you are looking for a simple tool for basic 3D model viewing or editing.
Stars
190
Forks
19
Language
Python
License
MIT
Category
Last pushed
Feb 02, 2023
Commits (30d)
0
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