| text2mesh | GET3D | |
|---|---|---|
| 14 | 17 | |
| 907 | 4,122 | |
| 0.4% | 0.6% | |
| 2.1 | 4.2 | |
| 10 months ago | 6 months ago | |
| Jupyter Notebook | 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.
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
GET3D
Posts with mentions or reviews of GET3D.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-22.
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Egregoria is a city simulation with high granularity
Check out: https://github.com/nv-tlabs/GET3D
License looks open. Very demanding hardware requirements (8 A100s).
- Tell HN: The next generation of videogames will be great with midjourney
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Save money for figure by generate one
With CharTurner it might be possible to extrapolate out a 3D model 🤔 Nvidia was messing with it back in Fall of least year. https://github.com/nv-tlabs/GET3D
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Creating 3D models using NVIDIA Get3D
Get 3D Code: https://github.com/nv-tlabs/GET3D
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Ai generated 3d models?
GET3D
- Game development is about to go wild with AI
- 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.
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Do you have any tips for converting 2D image to 3D, have you tried asking SD to do various different angles of the same image?
You are going to have a hard time from an SD image as you can't reliably get other angles to build a model, Nvidia's Get3D can try from a single image but the results are basic from what I can make out but I have not run it myself yet : https://github.com/nv-tlabs/GET3D
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RTX 4090 Launch Thread - Surprise Inside
Honestly: I'm looking into getting a 4090, as someone with a 3090. I really, really push my card doing AI assisted video sequences, machine learning, simulations in blender, production for The largest metaverse convention in the world , and being able to record and stream to AV1 on the fly would be icing on the cake. Though I wish it had 48gb of Vram for custom ML training datasets to use nvidia's nerfs and tlabs Get3d, 24 will do for now. It also pushes through vr pretty well when paired with pci-e 5. Or running renderdoc or anything else. I'm currently working with a small team for an exhibit at Raindance Immersive, and I know the 30+ minutes it takes to generate 30 seconds of footage right now would be easially cut in half for this new show.
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This room is dynamically generated with GPT-3 creating its person, items and writings, while SD paints the pictures on the wall.
Do you have the resources to run https://github.com/nv-tlabs/GET3D to try to AI generate objects GPT-3 references?
What are some alternatives?
When comparing text2mesh and GET3D you can also consider the following projects:
SAFA - Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Clip-Forge
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
hashcat - World's fastest and most advanced password recovery utility
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
NeROIC
stable-diffusion-webui - Stable Diffusion web UI
inline_tweak - Tweak a Rust value directly in the source code
text2mesh vs SAFA
GET3D vs stable-dreamfusion
text2mesh vs Clip-Forge
GET3D vs instant-ngp
text2mesh vs CenterSnap
GET3D vs hashcat
text2mesh vs pytorch-CycleGAN-and-pix2pix
GET3D vs magic3d-pytorch
text2mesh vs NeROIC
GET3D vs stable-diffusion-webui
text2mesh vs magic3d-pytorch
GET3D vs inline_tweak