text2mesh
3D mesh stylization driven by a text input in PyTorch (by threedle)
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more (by NVlabs)
| text2mesh | instant-ngp | |
|---|---|---|
| 14 | 147 | |
| 907 | 15,364 | |
| 0.4% | 1.1% | |
| 2.1 | 6.7 | |
| 10 months ago | 16 days ago | |
| Jupyter Notebook | 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.
text2mesh
Posts with mentions or reviews of text2mesh.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-27.
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Ai generated 3d models?
Text2Mesh
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Absolutely crazy - addon in blender to add textures to models with text prompts. Dream Textures (SD for Blender) - free addon. My god, it's accelerating at the speed of light.
Or this one: https://github.com/threedle/text2mesh
- Make-A-Video is a state-of-the-art AI system that generates videos from text
- Who is building StableDiffusion/DALL-E but for 3D assets?
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How long until AI is able to make assets from a prompt?
https://medium.com/mlearning-ai/text-to-3d-generation-cb8ce2c7f0f7 https://threedle.github.io/text2mesh/ https://www.nasir.lol/clipmesh
- [D] Diffusers applied to 3D model generation
- [R] Text to Mesh Without 3D Supervision Using Limit Subdivision (Clipmesh)
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3D projection of Vqgan-clip (@zybrid.studio)
my guess would be text2mesh? https://github.com/threedle/text2mesh
- Researchers from the University of Chicago and Tel Aviv University Introduce ‘Text2Mesh’: A Novel Framework to Alter both Color and Geometry of 3D Meshes According to a Textual Target
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 text2mesh and instant-ngp you can also consider the following projects:
SAFA - Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
awesome-NeRF - A curated list of awesome neural radiance fields papers
Clip-Forge
tiny-cuda-nn - Lightning fast C++/CUDA neural network framework
CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
NeROIC
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
instant-meshes - Interactive field-aligned mesh generator
text2mesh vs SAFA
instant-ngp vs awesome-NeRF
text2mesh vs Clip-Forge
instant-ngp vs tiny-cuda-nn
text2mesh vs CenterSnap
instant-ngp vs nerf-pytorch
text2mesh vs pytorch-CycleGAN-and-pix2pix
instant-ngp vs TensoRF
text2mesh vs NeROIC
instant-ngp vs colmap
text2mesh vs magic3d-pytorch
instant-ngp vs instant-meshes