TheiaSfM VS OpenSfM

Compare TheiaSfM vs OpenSfM and see what are their differences.

TheiaSfM

An open source library for multiview geometry and structure from motion (by sweeneychris)

OpenSfM

Open source Structure-from-Motion pipeline (by mapillary)
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TheiaSfM OpenSfM
1 5
874 3,226
- 1.1%
0.0 7.6
about 1 year ago 17 days ago
C++ Python
GNU General Public License v3.0 or later BSD 2-clause "Simplified" License
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.

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.

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.

What are some alternatives?

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

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

AliceVision - Photogrammetric Computer Vision Framework

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

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

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

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

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.