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Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting

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If you like our project, please give us a star ⭐ on GitHub for latest update.
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- -[![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/junwuzhang19/repaint123/blob/main/LICENSE) - -
- - - -## 😮 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 consistency, 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. -- [ ] Code release. -- [ ] Online Demo. - - -## 🤗 Demo - -Coming soon! - -## 🚀 Image-to-3D Results - -### Qualitative comparison - - - -### Quantitative comparison - - - - -## 👍 **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) - -