DAGSfM
colmap
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DAGSfM | colmap | |
---|---|---|
2 | 28 | |
384 | 6,763 | |
- | 4.9% | |
0.0 | 9.2 | |
almost 2 years ago | 3 days ago | |
C | C++ | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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DAGSfM
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Extracting Triangular 3D Models, Materials, and Lighting from Images
You can apply structure-from-motion to recover those, for example this fairly robust one: https://github.com/AIBluefisher/DAGSfM
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PlenOctrees for Real-Time Rendering of Neural Radiance Fields (NeRFs)
Try https://github.com/AIBluefisher/DAGSfM , it's graph-based approach is much more robust to common repetitive and only-partially-similar image content.
colmap
- Magic123: One Image to High-Quality 3D Object Generation
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Drone mapping is pretty dang cool
Not saying its easy to use, but there is an application gui and it is free: https://github.com/colmap/colmap
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Import many photogrammetry software's scenes into Blender
Colmap (Model folders (BIN and TXT), dense workspaces, NVM, PLY)
- Best options for monocular reconstruction?
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improving camera pose estimation using multiple aruco markers
See colmap for example https://colmap.github.io/
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2D images to 3D Object reconstruction
You're looking into a problem called photogrammetry, and a well-studied one at that. I'd recommend looking into "shape from motion" (sfm); specifically techniques that do "dense reconstruction." I'd recommend COLMAP to start with. It does pose estimation from images (e.g. you point it at a bunch of images and it will figure out the relative poses of the cameras that took them), as well as sparse and dense reconstcution.
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Framework generate 3d meshes from camera images
COLMAP builds dense meshes from a collection of cameras https://colmap.github.io/
- Nerfstudio: A collaboration friendly studio for NeRFs
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Neural Radiance Fields and input shape
I’ve seen references to using COLMAP (https://colmap.github.io/) to estimate camera position/pose, e.g. here
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3D reconstruction of an object from videos/few images
Classical photogrammetry, where I agree with u/tdgros that the way to go is https://colmap.github.io/. There are actually better variants in literature but nothing is more reliable and user-friendly than COLMAP. This will give you a very precise point cloud, that can be meshed if needed.
What are some alternatives?
tinysfm - Structure From Motion in 50 lines using OpenCV
Meshroom - 3D Reconstruction Software
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
sundials - Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.
Hierarchical-Localization - Visual localization made easy with hloc
nerf - Code release for NeRF (Neural Radiance Fields)
AliceVision - Photogrammetric Computer Vision Framework
openMVS - open Multi-View Stereo reconstruction library
RedisJumphash - Google's "Jump" Consistent Hash function in C, as Redis module.
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more