awesome-NeRF
A curated list of awesome neural radiance fields papers (by awesome-NeRF)
nerf
Code release for NeRF (Neural Radiance Fields) (by bmild)
| awesome-NeRF | nerf | |
|---|---|---|
| 18 | 6 | |
| 6,250 | 9,374 | |
| 0.9% | - | |
| 6.9 | 0.0 | |
| 1 day ago | 6 months ago | |
| TeX | Jupyter Notebook | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
awesome-NeRF
Posts with mentions or reviews of awesome-NeRF.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-05.
- Recommendation for a convenient NERF model to try out? And discussions...
- This is not drone footage or an iPhone video but An AI model made this. Google researchers created this 3D scene and walkthrough using just 2D images. This is called a NeRF (Anti-Aliased Grid-Based Neural Radiance Fields), where AI models can take 2D pictures and create 3D scenes.
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New AI Tools for iPhones: Motion Capture and Environment Scanning - But What About Android Users?
And plenty others from outside Google Research. However, I wasn't aware there was a whole product making the creation of them trivial already. It's great to see honestly as I was hoping this would make the leap from research to products given how useful it is.
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Is Nerf better than COLMAP for object reconstruction?
You can extract a mesh from a NeRF by using the marching cubes algorithm. But you'll have to texture it as well, and only after that can you be real time. NeRF training or inference isn't fast in the vanilla version. I suggest you browse https://github.com/awesome-NeRF/awesome-NeRF and look for the fast versions, this one is very fast, if you're ok with special CUDA kernels: https://nvlabs.github.io/instant-ngp/
- I volunteered to help out with the Awesome NeRF list - help me bring it up to date.
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Nerf meshes are crap and thats normal right ?
There are implementations of NeRF that are solely based on the aim of a good export, and the work is going fast. I'm mobile right now but think this is a good place to watch, if my bookmarks are correct: https://github.com/yenchenlin/awesome-NeRF
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Nvidia NeRF
https://github.com/yenchenlin/awesome-NeRF watch and learn from this page!
- A curated list of NeRF papers & other resources
nerf
Posts with mentions or reviews of nerf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-27.
-
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?
When comparing awesome-NeRF and nerf you can also consider the following projects:
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
gaugan - Photorealistic landscape drawings using the Nvidia SPADE model
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
svox2 - Plenoxels: Radiance Fields without Neural Networks
TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
awesome-visual-slam - :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
instant-ngp-Windows - Instant neural graphics primitives: lightning fast NeRF and more
sketch-to-art - 🖼 Create artwork from your casual sketch with GAN and style transfer
IDE-3D - [SIGGRAPH Asia 2022] IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis