multinerf
nerfstudio
| multinerf | nerfstudio | |
|---|---|---|
| 3 | 10 | |
| 3,514 | 8,533 | |
| 1.2% | 2.7% | |
| 3.6 | 9.6 | |
| 5 months ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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multinerf
- Does anyone know how to NeRF or Zip-NeRF videos?
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A NeRF update to my post from 4 days ago.
Luma AI is a free-to-use web app or iOS app, and you can find all Google's NeRF projects in MultiNeRF.
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Google AI Open-Sources ‘MultiNeRF’: Image Noise Reduction Artificial Intelligence Project Presented at Computer Vision and Graphics Recognition (CVPR) Conference 2022
Continue reading | Paper ‘Mip-NeRF 360‘ | Paper ‘Ref-NeRF‘ | Paper ‘NeRF in the Dark’ | Github Code
nerfstudio
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Smerf: Streamable Memory Efficient Radiance Fields
You’re under the right paper for doing this. Instead of one big model, they have several smaller ones for regions in the scene. This way rendering is fast for large scenes.
This is similar to Block-NeRF [0], in their project page they show some videos of what you’re asking.
As for an easy way of doing this, nothing out-of-the-box. You can keep an eye on nerfstudio [1], and if you feel brave you could implement this paper and make a PR!
[0] https://waymo.com/intl/es/research/block-nerf/
[1] https://github.com/nerfstudio-project/nerfstudio
- Researchers create open-source platform for Neural Radiance Field development
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first attempt to photogrammetry using DJI mini 2 and metashape. 460 images manual. What did I do wrong? What can i do to improve it? Would appreciate all kinds of advice to a newbie
Try rendering NERFs with your footage, you're gonna love the result and NERFs are pretty robust to reflections. You can use your Metashape solve for Nerf Studio https://github.com/nerfstudio-project/nerfstudio
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What is the best way to create a dataset for NeRF?
Beyond these tips, I don't have much. There's lots of research about how to improve quality of solves in the software itself. I'm hoping these get added to instant-ngp, since it's fast and free, but it is research software, not a product, so we'll see. Another thing to maybe look at is Nerfstudio. It can use instant-ngp as a solver, but there are other solvers. I briefly tried it but couldn't figure out how it worked, from the small bit of time I spent with it. I hope to get back to it.
- Nerfstudio – A collaboration friendly studio for NeRFs
- When the client's management is happy but their dev team is a pain
- A collaboration friendly studio for NeRFs
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NeRF ➜ point cloud export — now available via nerfstudio
nerf.studio | github | discord
- Show HN: A collaboration friendly studio for NeRFs
What are some alternatives?
AvatarCLIP - [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
TorchSharp - A .NET library that provides access to the library that powers PyTorch.
DirectVoxGO - Direct voxel grid optimization for fast radiance field reconstruction.
sdfstudio - A Unified Framework for Surface Reconstruction
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
smerf-3d
nerfmm - (Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
vision_transformer
kaolin-wisp - NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
CIPS-3D - 3D-aware GANs based on NeRF (arXiv).
taichi-nerfs - Implementations of NeRF variants based on Taichi + PyTorch
SegmentAnythingin3D - Segment Anything in 3D with NeRFs (NeurIPS 2023)