ranahanocka/point2mesh
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
This project helps convert raw 3D scan data into a clean, solid 3D model. It takes an unorganized collection of 3D points (a point cloud) from a scan and outputs a watertight, deformable 3D mesh model that can be used for various applications. It's ideal for 3D artists, product designers, or researchers who need to turn scan data into a usable mesh.
1,231 stars. No commits in the last 6 months.
Use this if you need to transform imperfect 3D point cloud scans of objects into smooth, watertight 3D mesh models suitable for editing, animation, or 3D printing.
Not ideal if you're looking to generate 3D models from scratch or simply need to view, rather than reconstruct, point cloud data.
Stars
1,231
Forks
137
Language
Python
License
MIT
Category
Last pushed
Nov 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ranahanocka/point2mesh"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
daavoo/pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
yogeshhk/MidcurveNN
Computation of Midcurve of Thin Polygons using Neural Networks
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space