cvg/diffmvs
[T-PAMI 2025] DiffMVS & CasDiffMVS
This project helps generate highly detailed and accurate 3D models from a collection of photographs taken from different angles. It takes a set of images of an object or scene, along with their camera positions, and outputs a dense 3D point cloud, which is a digital representation of the scene's geometry. This tool is ideal for professionals in fields like surveying, cultural heritage preservation, or industrial inspection who need precise 3D reconstructions.
157 stars.
Use this if you need to create accurate and lightweight 3D models from multiple photographs, especially when balancing reconstruction quality with computational efficiency is crucial.
Not ideal if you only have a single image or already have a sparse point cloud and don't require further dense reconstruction.
Stars
157
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/cvg/diffmvs"
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