doubleZ0108/MVS

Multi-View Stereo based on deep learning. | Learning notes, codes and more.

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Emerging

This project helps researchers and practitioners in 3D reconstruction compare and understand advanced deep learning methods for Multi-View Stereo (MVS). It takes multiple 2D images of an object or scene from different viewpoints and outputs a detailed 3D depth map or point cloud. Computer vision engineers, robotics researchers, and photogrammetrists would find this valuable for evaluating and implementing state-of-the-art MVS techniques.

119 stars. No commits in the last 6 months.

Use this if you need to research, understand, or implement modern deep learning-based Multi-View Stereo algorithms for 3D reconstruction from multiple images.

Not ideal if you are looking for a ready-to-use application or a simple library for general 3D scanning without deep learning expertise.

3D Reconstruction Computer Vision Photogrammetry Robotics Spatial Computing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 17 / 25

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Stars

119

Forks

19

Language

Python

License

Last pushed

Mar 29, 2023

Commits (30d)

0

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