awesome-NeRF
A curated list of awesome neural radiance fields papers (by awesome-NeRF)
SPADE
Semantic Image Synthesis with SPADE (by NVlabs)
| awesome-NeRF | SPADE | |
|---|---|---|
| 18 | 11 | |
| 6,250 | 7,540 | |
| 0.9% | 0.1% | |
| 6.9 | 0.0 | |
| 1 day ago | 9 months ago | |
| TeX | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
-
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.
-
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.
-
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
-
Nvidia NeRF
https://github.com/yenchenlin/awesome-NeRF watch and learn from this page!
- A curated list of NeRF papers & other resources
SPADE
Posts with mentions or reviews of SPADE.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
- T2i Segmentation Colors Reference - Work in progress v18
-
I'm looking for an AI Art generator from images
GauGAN (https://github.com/NVlabs/SPADE) - This is a PyTorch implementation of the SPADE (SPatially-Adaptive (DE)normalization) algorithm, which can generate images from segmentation maps. You can use it to generate realistic images of objects, landscapes, and other scenes.
- MegaPortraits: High-Res Deepfakes Created From a Single Photo
-
Can NVIDIA Canvas be used as an API?
It is open source, if that helps. Here is a GitHub link.
- Care sunt meseriile/profesiile care, in opinia voastra, nu vor fi inlocuite de AI in urmatorii 35-50 de ani si de ce?
-
Where/How should I start?
Generating photorealistic landscapes from brush strokes: Semantic Image Synthesis with Spatially-Adaptive Normalization
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Blursed rock formation
This look like an AI image synthesized with Nvidia's SPADE.
- Nvidia Canvas
-
Gaugan Nvidia Unity
Spade Nvidia
What are some alternatives?
When comparing awesome-NeRF and SPADE you can also consider the following projects:
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
gaugan - Photorealistic landscape drawings using the Nvidia SPADE model
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
WaveFunctionCollapse - Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
nerf - Code release for NeRF (Neural Radiance Fields)
Parsec-Cloud-Preparation-Tool - Launch Parsec enabled cloud computers via your own cloud provider account.
sketch-to-art - 🖼 Create artwork from your casual sketch with GAN and style transfer
svox2 - Plenoxels: Radiance Fields without Neural Networks
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
awesome-visual-slam - :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
Parsec-Cloud-Preparation-Too
awesome-NeRF vs instant-ngp
SPADE vs gaugan
awesome-NeRF vs colmap
SPADE vs WaveFunctionCollapse
awesome-NeRF vs nerf
SPADE vs Parsec-Cloud-Preparation-Tool
awesome-NeRF vs gaugan
SPADE vs sketch-to-art
awesome-NeRF vs svox2
SPADE vs pytorch-CycleGAN-and-pix2pix
awesome-NeRF vs awesome-visual-slam
SPADE vs Parsec-Cloud-Preparation-Too