clip-fields
Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields (by notmahi)
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more (by NVlabs)
| clip-fields | instant-ngp | |
|---|---|---|
| 2 | 147 | |
| 141 | 15,418 | |
| - | 1.4% | |
| 4.6 | 6.4 | |
| 3 months ago | 30 days ago | |
| Python | Cuda | |
| 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.
clip-fields
Posts with mentions or reviews of clip-fields.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-13.
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[R] CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory + Code + Robot demo
Best part, I believe, is that you should be able to train your own CLIP-Field for your living room if you have an hour, a decent GPU, and a way to get RGB-D video (an iPhone 13 Pro works great!) I hope you can give the code a try: https://github.com/notmahi/clip-fields or check out the website https://mahis.life/clip-fields/ for more interactive demos. Our Arxiv submission is also out now, at https://arxiv.org/abs/2210.05663, and if you want a longer tl;dr with a couple more videos, check out this tweet. Thanks!
- Teaching robots to respond to queries with CLIP and NeRF-like neural fields
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...
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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.
What are some alternatives?
When comparing clip-fields and instant-ngp you can also consider the following projects:
Detic - Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
awesome-NeRF - A curated list of awesome neural radiance fields papers
PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
lang-seg - Language-Driven Semantic Segmentation
TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
instant-meshes - Interactive field-aligned mesh generator
instant-ngp-Windows - Instant neural graphics primitives: lightning fast NeRF and more
nerf - Code release for NeRF (Neural Radiance Fields)
clip-fields vs Detic
instant-ngp vs awesome-NeRF
clip-fields vs PoseNDF
instant-ngp vs tiny-cuda-nn
clip-fields vs marqo
instant-ngp vs nerf-pytorch
clip-fields vs lang-seg
instant-ngp vs TensoRF
instant-ngp vs colmap
instant-ngp vs instant-meshes
instant-ngp vs instant-ngp-Windows
instant-ngp vs nerf