ranahanocka/point2mesh

Health v2 · maintenance only

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Adoption not part of the score

1240 stars · 135 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Point2Mesh is a PyTorch implementation of a SIGGRAPH 2020 technique that reconstructs watertight surface meshes from input point clouds by optimizing a CNN to deform an initial mesh around the shape. It is research code accompanying an academic paper, with example scripts and conda-based setup.

Use cases

• reconstruct a watertight mesh from a 3d point cloud
• shrink-wrap an initial mesh onto point cloud data using a learned cnn
• reproduce the point2mesh siggraph 2020 paper results
• process 3d scans into clean manifold meshes
• experiment with deep learning for geometry processing

When to choose

• you need watertight mesh reconstruction from point clouds of a single object
• you want to study or extend the point2mesh self-prior approach
• you have a GPU and can work with PyTorch 1.4/1.5 and PyTorch3D

When to avoid

• you need a fast, production-ready reconstruction pipeline
• you cannot install the pinned old PyTorch/PyTorch3D versions or the external Manifold tool
• you need generic multi-object or real-time reconstruction

Facets

library · maturity maintenance

deep-learning machine-learning graphics image-processing computer-vision graphics deep-learning machine-learning python point-cloud mesh-reconstruction pytorch 3d-graphics siggraph watertight-mesh research-code linux gpu

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For agents

markdown · JSON · MCP: product_card(name="ranahanocka/point2mesh")