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-<h2 align="center"> <a href="https://github.com/PKU-YuanGroup/repaint123">Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting</a></h2>
-<h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for latest update.  </h2>
-
-<h5 align="center">
-
-[![webpage](https://img.shields.io/badge/Webpage-blue)](https://PKU-YuanGroup.github.io/repaint123/)
-[![arXiv](https://img.shields.io/badge/Arxiv-2312.13271-b31b1b.svg?logo=arXiv)](https://arxiv.org/abs/2312.13271)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/PKU-YuanGroup/repaint123/blob/main/LICENSE) 
-
-
-</h5>
-
-## [Project page](https://PKU-YuanGroup.github.io/repaint123/) | [Paper](https://arxiv.org/abs/2312.13271) | [Live Demo (Coming Soon)]()
-
-
-<img src="assets/teaser.png"/>
-
-## 😮 Highlights
-
-Repaint123 crafts 3D content from a single image, matching 2D generation quality in just ***2 minutes***.
-
-### 🔥 Simple Gaussian Splatting baseline for image-to-3D
-- Coarse stage: Gaussian Splatting optimized with SDS loss by Zero123 for geometry formation.
-- Fine stage: Mesh optimized with MSE loss by Stable Diffusion for texture refinement.
-
-### 💡 View consistent, high quality and fast speed
-- Stable Diffusion for high quality and controllable repainting for reference alignment   -->   view-consistent high-quality image generation.
-- View-consistent high-quality images with simple MSE loss   -->   fast high-quality 3D content reconstruction.
-
-
-
-## 🚩 **Updates**
-
-Welcome to **watch** 👀 this repository for the latest updates.
-
-✅ **[2023.12.21]** : We have released our paper, Repaint123 on [arXiv](https://arxiv.org/abs/2312.13271).
-
-✅ **[2023.12.21]** : Release [project page](https://PKU-YuanGroup.github.io/repaint123/).
-- [ ] Code release.
-- [ ] Online Demo.
-
-
-## 🤗 Demo
-
-Coming soon!
-
-## 🚀 Image-to-3D Results
-
-### Qualitative comparison
-
-<img src="assets/qual-comparison.jpg"/>
-
-### Quantitative comparison
-
-<img src="assets/quan-comparison.png"/>
-
-
-## 👍 **Acknowledgement**
-This work is built on many amazing research works and open-source projects, thanks a lot to all the authors for sharing!
-* [DreamGaussian](https://github.com/dreamgaussian/dreamgaussian)
-* [ControlNet](https://github.com/lllyasviel/ControlNet)
-* [Repaint](https://github.com/andreas128/RePaint)
-* [Diffusers](https://github.com/huggingface/diffusers)
-
-## ✏️ Citation
-If you find our paper and code useful in your research, please consider giving a star :star: and citation :pencil:.
-
-```BibTeX
-@misc{zhang2023repaint123,
-    title={Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting},
-    author={Junwu Zhang and Zhenyu Tang and Yatian Pang and Xinhua Cheng and Peng Jin and Yida Wei and Wangbo Yu and Munan Ning and Li Yuan},
-    year={2023},
-    eprint={2312.13271},
-    archivePrefix={arXiv},
-    primaryClass={cs.CV}
-}
-```
-<!---->