Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"
| Date | Stars |
|---|---|
| 2026-07-31 | 732 |
| 2026-08-04 | 732 |
| 2026-08-06 | 732 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
<a href="https://arxiv.org/abs/2303.07937"><img src="https://img.shields.io/badge/arXiv-2303.07937-%23B31B1B"></a>
<a href="https://ku-cvlab.github.io/3DFuse/"><img src="https://img.shields.io/badge/Project%20Page-online-brightgreen"></a>
<br>
<p align="center">
<img src="imgs/1.gif" width="40%">
<img src="imgs/2.gif" width="40%">
<img src="imgs/3.gif" width="40%">
<img src="imgs/4.gif" width="40%">
</p>
This is official implementation of the paper "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation". The last column of each example is our result.
## ⚡️News
**❗️2023.04.10:** We've opened the [**HuggingFace Demo**](https://huggingface.co/spaces/jyseo/3DFuse)! Also, we fixed minor issues, including the seed not being fixed.
**❗️2023.03.31:** We found that we typed an incorrect version of the model for point cloud inference. **The fixed commit produces much better results.**
## Introduction
<center>
<img src="https://ku-cvlab.github.io/3DFuse/imgs/3dfuse.png" width="100%" height="100%">
</center>
We introduce 3DFuse, a novel framework that incorporates 3D awareness into pretrained 2D diffusion models, enhancing the robustness and 3D consistency of score distillation-based methods. For more details, please visit our [project page](https://ku-cvlab.github.io/3DFuse/)!
## 🔥TODO
- [x] 3D Generation/Gradio Demo Code
- [x] HuggingFace🤗 Demo Release
- [ ] Colab Demo Release
- [ ] Mesh Converting Code
## Installation
Please follow [installation](INSTALL.md).
## Interactive Gradio App
### for Text-to-3D / Image-to-3D
Enter your own prompt and enjoy! With this gradio app, you can preview the point cloud before 3D generation and determine the desired shape.
```
python gradio_app.py
# or python gradio_app.py --share
```
<img src='imgs/ex1.png'>
<img src='imgs/ex2.png'>
## Text-to-3D Generation
After modifying the `run.sh` file with the desired prompt and hyperparameters, please execute the following command:
```
sh run.sh
```
## Acknowledgement
We would like to acknowledge the contributions of public projects, including [SJC](https://github.com/pals-ttic/sjc/) and [ControlNet](https://github.com/lllyasviel/ControlNet) whose code has been utilized in this repository.
## Citation
```
@article{seo2023let,
title={Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation},
author={Seo, Junyoung and Jang, Wooseok and Kwak, Min-Seop and Ko, Jaehoon and Kim, Hyeonsu and Kim, Junho and Kim, Jin-Hwa and Lee, Jiyoung and Kim, Seungryong},
journal={arXiv preprint arXiv:2303.07937},
year={2023}
}
```
Excerpt of 2,663 characters
Read on GitHub
21
3
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a1de771cd51af3c5, desc:text-to-3d, desc:3d generation