colmap
nerf
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| colmap | nerf | |
|---|---|---|
| 28 | 6 | |
| 6,763 | 9,374 | |
| 4.9% | - | |
| 9.2 | 0.0 | |
| 3 days ago | 6 months ago | |
| C++ | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
nerf
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I created hundreds of golems using SD & Dreambooth. Check it out and LMK what you think?
I haven't tried personally but have header great things about the NERF work (esp. coming out of nvidia). Something like this: https://github.com/bmild/nerf
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We took over a 100+ NVIDIA's NeRFs (Neural Radiance Field) over the past year. We truly think their AI will change the game if they decide to release it commercially.
Here’s the link to the github:)
- Nvidia Research Turns 2D Photos into 3D Scenes in the Blink of an AI
- 100x faster NeRF explained - Plenoxels: Radiance Fields without Neural Networks 5-minute summary (by Casual GAN Papers)
- Photogrammetry for Selfies: "Nerfies"
What are some alternatives?
Meshroom - 3D Reconstruction Software
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
awesome-NeRF - A curated list of awesome neural radiance fields papers
Hierarchical-Localization - Visual localization made easy with hloc
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
openMVS - open Multi-View Stereo reconstruction library
TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
instant-ngp-Windows - Instant neural graphics primitives: lightning fast NeRF and more
OpenSfM - Open source Structure-from-Motion pipeline
IDE-3D - [SIGGRAPH Asia 2022] IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis