instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more (by NVlabs)
Neural-Scene-Flow-Fields
PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes" (by zhengqili)
| instant-ngp | Neural-Scene-Flow-Fields | |
|---|---|---|
| 147 | 4 | |
| 15,364 | 694 | |
| 1.1% | - | |
| 6.7 | 2.6 | |
| 14 days ago | almost 2 years ago | |
| Cuda | Python | |
| GNU General Public License v3.0 or later | 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.
instant-ngp
Posts with mentions or reviews of instant-ngp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-04.
- 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!
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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/
-
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?
-
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
-
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.
Neural-Scene-Flow-Fields
Posts with mentions or reviews of Neural-Scene-Flow-Fields.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-10.
- [D] NeRF, LeRF, Prolific Dreamer, Neuralangelo, and a lot of other cool NeRF research
-
"Paint by Word", Bau et al 2021 (using CLIP+BigGAN/StyleGAN to edit images & inpaint deleted segments based on word inputs like "rustic")
Here's the link to the Github. Not Colab based but you can download a pretrained model and test it locally https://github.com/zhengqili/Neural-Scene-Flow-Fields
- [D] Neural Scene Radiance Fields - Depth Estimation & 3D Scene Reconstruction for 3D Video Stabilization
- 3D Video Stabilization with AI via Depth Estimation & 3D Scene Reconstruction [NSFF]
What are some alternatives?
When comparing instant-ngp and Neural-Scene-Flow-Fields you can also consider the following projects:
awesome-NeRF - A curated list of awesome neural radiance fields papers
ms-nerf - Multi-Space Neural Radiance Fields(CVPR 2023)
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
BungeeNeRF - [ECCV22] BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering
nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
VideoLoop3D - Code for CVPR2023: 3D Video Loops from Asynchronous Input
TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
MixNeRF - [CVPR2023] MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
prolificdreamer - Official code of ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
instant-meshes - Interactive field-aligned mesh generator
Sin3DGen
instant-ngp vs awesome-NeRF
Neural-Scene-Flow-Fields vs ms-nerf
instant-ngp vs tiny-cuda-nn
Neural-Scene-Flow-Fields vs BungeeNeRF
instant-ngp vs nerf-pytorch
Neural-Scene-Flow-Fields vs VideoLoop3D
instant-ngp vs TensoRF
Neural-Scene-Flow-Fields vs MixNeRF
instant-ngp vs colmap
Neural-Scene-Flow-Fields vs prolificdreamer
instant-ngp vs instant-meshes
Neural-Scene-Flow-Fields vs Sin3DGen