Meshroom
colmap
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Meshroom | colmap | |
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126 | 28 | |
10,461 | 6,612 | |
2.0% | 3.8% | |
9.4 | 9.2 | |
2 days ago | 4 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Meshroom
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Gaussian Splatting is pretty cool
Take a look at Meshroom from https://alicevision.org/
It's a pretty decent tool, although not sure if videos work well.
I once tried to build a mesh from an aerial video by extracting certain frames and the result was ok-ish
- Magic123: One Image to High-Quality 3D Object Generation
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An AI-generated 3D scene created from photos
Photogrametrie https://alicevision.org/
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Turntable Photogrammetry with Meshroom
I used Ultra settings as recommended in an issue thread on the meshroom github page. I also tried masking the images using Rembg . I wrote a script that automates the process for me which masks the images and transfers the metadata over to the masked images - here is a link to the script I wrote if anyone finds use for it.
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Best way to work with point cloud files?
You could start by importing the point cloud model into a software with native support for the file format. Some open source examples are Meshroom (https://alicevision.org) or Meshlab (https://www.meshlab.net). There are other softwares from companies like Autodesk that might be more intuitive but you'd need licenses to use them. Rhino and Blender can handle the file formats but might struggle depending on the size and complexity.
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3D Novel View Synthesis with Diffusion Models
You're probably looking for multiview photogrammetry. Also known as "structure from motion." https://github.com/alicevision/Meshroom is a good free tool for this, but the most popular one is probably AGISoft MetaShape.
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MeshroomCL - This version of Meshroom doesn't require CUDA
huh? https://github.com/alicevision/meshroom
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NVIDIA's Instant-NGP is getting increasingly better. Took this NeRF in Bordeaux-Saint-Clair, Normandie, France. What do you think?
There is also 3DF Zephyr and Meshroom
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OpenDroneMap
Are you aware of solutions like Alicevision/Meshroom (MPLv2)?
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Where can I find Meshroom's SFM code?
I would like to understand how Meshroom works under the hood, but couldn't find the source code. There is the github project Meshroom Github, but it only consists of the frontend code and calls the prebuild binaries. Does Meshroom also publish the source code for those binaries or is it proprietary?
colmap
- Magic123: One Image to High-Quality 3D Object Generation
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Import many photogrammetry software's scenes into Blender
Colmap (Model folders (BIN and TXT), dense workspaces, NVM, PLY)
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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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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.
NeRF actually uses the steps for reconstruction, some variants (Stable View Synthesis) directly rely on the full reconstruction. Many authors use colmap: https://colmap.github.io/
- [R] It’s wild to see an AI literally eyeballing raytracing based on 100 photos to create a 3d scene you can step inside ☀️ Low key getting addicted to NeRF-ing imagery datasets🤩
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helpful pointers to state-of-the-art material for depth estimation from multi-view videos captured from cameras with arbitrary poses.
I am looking for some pointers to papers/open-source software that can do fast and accurate depth estimation from multi-view videos. I am aware of colmap and OpenMVG software but was curious to know if there are others out there that outperform these. I am also interested in any state-of-the-art for depth estimation using unsupervised or self-supervised neural networks.
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Photogrammetry of tiny plants! Multi view reconstruction.
I agree with u/SupersonicSandwich. I would also add that it might be a good idea to give https://colmap.github.io/ a try. It's very easy to use and it's currently the best classical photogrammetry method in terms of quality vs usability tradeoff.
- Nvidia Research Turns 2D Photos into 3D Scenes in the Blink of an AI
What are some alternatives?
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Hierarchical-Localization - Visual localization made easy with hloc
ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
nerf - Code release for NeRF (Neural Radiance Fields)
Open3D - Open3D: A Modern Library for 3D Data Processing
openMVS - open Multi-View Stereo reconstruction library
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
OpenSfM - Open source Structure-from-Motion pipeline
meshroomcl - MeshroomCL: An OpenCL implementation of photogrammetry with the Meshroom interface
AliceVision - Photogrammetric Computer Vision Framework