instant-ngp
TensoRF
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| instant-ngp | TensoRF | |
|---|---|---|
| 147 | 1 | |
| 15,329 | 1,133 | |
| 2.2% | - | |
| 6.7 | 2.9 | |
| 7 days ago | 7 months ago | |
| Cuda | Python | |
| GNU General Public License v3.0 or later | MIT License |
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instant-ngp
- I want a 3d scanner...
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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!
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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.
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[D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
[Project Page] https://nvlabs.github.io/instant-ngp/
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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!
1. https://github.com/NVlabs/instant-ngp
- How about Ranger Green?
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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?
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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
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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.
TensoRF
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Nvidia Research Turns 2D Photos into 3D Scenes in the Blink of an AI
This is great, and the paper+codebase they're referring to (but not linking, here [1]) is neat too.
The research is moving fast though, so if you want something almost as fast without specialized CUDA kernels (just plain pytorch) you're in luck: https://github.com/apchenstu/TensoRF
As a bonus you also get a more compact representation of the scene.
[1] https://github.com/NVlabs/instant-ngp
What are some alternatives?
awesome-NeRF - A curated list of awesome neural radiance fields papers
nerf - Code release for NeRF (Neural Radiance Fields)
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
OpenSfM - Open source Structure-from-Motion pipeline
nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
fill - Generative fill in 3D.
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
instant-meshes - Interactive field-aligned mesh generator
Meshroom - 3D Reconstruction Software
instant-ngp-Windows - Instant neural graphics primitives: lightning fast NeRF and more