text2mesh
NeROIC
| text2mesh | NeROIC | |
|---|---|---|
| 14 | 4 | |
| 907 | 910 | |
| 0.4% | 3.3% | |
| 2.1 | 0.0 | |
| 10 months ago | over 1 year ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 or later |
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text2mesh
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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
NeROIC
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Meet NeROIC: An Efficient Artificial Intelligence (AI) Framework For Object Acquisition Of Images In The Wild
Quick Read: https://www.marktechpost.com/2022/12/25/meet-neroic-an-efficient-artificial-intelligence-ai-framework-for-object-acquisition-of-images-in-the-wild/ Paper: https://arxiv.org/pdf/2201.02533.pdf Project: https://formyfamily.github.io/NeROIC/ Github: https://github.com/snap-research/NeROIC
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Make-A-Video is a state-of-the-art AI system that generates videos from text
I actually have been trying it out this week, and in fact it's currently trying to process the video generation, like their example shows. While I was able to follow their steps for training using their dataset, and generate the lighting/depth maps for the milkcarton example, the video generation is taking a long time (over 24hours, using a 3070Ti with 8GB VRAM).
From what I understand with NeROIC, it's not particularly meant to be able to generate an 3D model that can be imported into Blender (or other software). It requires more work to take the meshes it generates to do something with it. See https://github.com/snap-research/NeROIC/issues/10
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From a few images to a 3D model with AI!
►Code: https://github.com/snap-research/NeROIC
What are some alternatives?
SAFA - Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
Clip-Forge
make-a-video-pytorch - Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
neural-style-pt - PyTorch implementation of neural style transfer algorithm
ml-gmpi - Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)