FangjinhuaWang/IterMVS
Official code of IterMVS (CVPR 2022)
IterMVS helps generate highly accurate 3D point clouds from multiple 2D images of a scene, a process known as Multi-View Stereo (MVS). You input a set of images of an object or scene along with their camera parameters, and it outputs a detailed 3D point cloud in PLY format. This is ideal for researchers in computer vision or anyone needing to reconstruct high-fidelity 3D models from visual data.
170 stars. No commits in the last 6 months.
Use this if you need to create precise 3D reconstructions of objects or scenes from multiple photographs efficiently, especially for research in 3D vision.
Not ideal if you require a user-friendly application with a graphical interface for 3D reconstruction, as this project is a research-oriented codebase.
Stars
170
Forks
19
Language
Python
License
MIT
Category
Last pushed
Sep 19, 2025
Commits (30d)
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