OpenSfM VS TheiaSfM

Compare OpenSfM vs TheiaSfM and see what are their differences.

OpenSfM

Open source Structure-from-Motion pipeline (by mapillary)

TheiaSfM

An open source library for multiview geometry and structure from motion (by sweeneychris)
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OpenSfM TheiaSfM
5 1
3,219 874
0.9% -
7.6 0.0
13 days ago about 1 year ago
Python C++
BSD 2-clause "Simplified" License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

OpenSfM

Posts with mentions or reviews of OpenSfM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-26.

TheiaSfM

Posts with mentions or reviews of TheiaSfM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-09.

What are some alternatives?

When comparing OpenSfM and TheiaSfM you can also consider the following projects:

colmap - COLMAP - Structure-from-Motion and Multi-View Stereo

OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

AliceVision - Photogrammetric Computer Vision Framework

ZeroNet - ZeroNet - Decentralized websites using Bitcoin crypto and BitTorrent network

gtsfm - End-to-end SFM framework based on GTSAM

ceres-solver - A large scale non-linear optimization library

Fingerprint-Feature-Extraction - Extract minutiae features from fingerprint images

TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

face-movie - Automatically create a time-lapse morph sequence of a face using OpenCV and Dlib.