OpenMVG (open Multiple View Geometry)
instant-ngp
Our great sponsors
OpenMVG (open Multiple View Geometry) | instant-ngp | |
---|---|---|
10 | 147 | |
5,457 | 15,260 | |
1.7% | 1.8% | |
6.6 | 6.7 | |
about 1 month ago | 16 days ago | |
C++ | Cuda | |
Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
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.
OpenMVG (open Multiple View Geometry)
-
HELP!!
Try to find a community that will know more about openMVG, like the discussion tab on their github.
-
Import many photogrammetry software's scenes into Blender
OpenMVG (JSON, NVM, PLY)
- 10 years of OpenMVG. A developer perspective.
- 10 years of OpenMVG - A developer retrospective
- Sharing feedback on 10 years of OSS on OpenMVG
-
What are some C++ projects with high quality code that I can read through?
I find openMVG very decent, FTXUI might be a good one and nlohmann's json library is also pretty nice. I don't really know of any project that strictly adheres to the core guidelines, except maybe for some of Jason Turner's (sample) projects.
-
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.
- Packages for Bundle Adjustment
-
Does anyone have open source C++ projects that I can try contributing to?
OpenMVG is super cool, and the project lead Pierre is very generous with his time.
-
Using Meshroom as a lib in python
Meshroom is just a Python wrapper for VSfM. OpenMVS seems like the package most customizers are starting to use. https://github.com/openMVG/openMVG
instant-ngp
- I want a 3d scanner...
-
Mind-blowing results (LORA/Checkpoint mix)
This is really cool! Could you now use something like this to turn the new images in a 3d model? Or even use open pose (controlnet) to generate a bunch of images from different angles and use InstantNeRF to make a 3d model for free!
-
Scanning in real life environments to be viewed in VR >>> taking pictures. Simple process from video -> render, using instant-ngp
It is at this point that you should have Instant-NGP setup. The script for the COLMAP processing is in the repo, as well as the steps to perform it. My exact parameters were 3 fps and 16 aabb. It is pretty helpful to add the scripts directory into path for exact access system-wide.
-
[D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
[Project Page] https://nvlabs.github.io/instant-ngp/
-
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
instant-ngp ([1]) from NVIDIA can render NeRF in VR in real-time, assuming a very good desktop video card. Note that instant-ngp is not as photo-realistic as Zip-NeRF. But it's still very good!
- How about Ranger Green?
-
Roast my MC kit
Playing around with neRF AI (https://github.com/NVlabs/instant-ngp) to create some 3d gear reveals. I think this a fun way to show off a kit, what do you think?
- Has anyone tried to generate images from enough angles to feed Nvidia Nerf to make 3D models?
-
Instant NPG: how do minimize noise and maximize quality? Tips welcome!
3 not sure if it's the one you want but the -aabb_scale is a crop. This page recommends trying a large value of 128 for some outdoor scenes: https://github.com/NVlabs/instant-ngp/blob/master/docs/nerf_dataset_tips.md
-
I NeRF'd the new Taco Bell on Rt. 40
I don't know about lumalabs, but basically all NeRF projects these days are based on NVIDIAs Instant neural graphics primitives ( GitHub: instant-ngp). It utilizes COLMAP for SfM (preprocessing step for the neural network) and runs on average Geforce cards pretty good. The fox example (50 photos) on their page literally takes 5 seconds to complete.
What are some alternatives?
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
awesome-NeRF - A curated list of awesome neural radiance fields papers
OpenCV - Open Source Computer Vision Library
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
Meshroom - 3D Reconstruction Software
nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
OpenSfM - Open source Structure-from-Motion pipeline
TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
VTK - Mirror of Visualization Toolkit repository
ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
instant-meshes - Interactive field-aligned mesh generator