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README.md

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-<p align="center">
-  <h3 align="center"><strong>ShapeLLM-omni: A Native Multimodal LLM for 3D Generation and Understanding</strong></h3>
-
-<p align="center">
-    <a href="https://jamesyjl.github.io/">Junliang Ye</a><sup>1,2*</sup>,
-    <a href="https://thuwzy.github.io/">Zhengyi Wang</a><sup>1,2*</sup>,
-    <a href="https://zhaorw02.github.io/">Ruowen Zhao</a><sup>1*</sup>,
-    <a href="">Shenghao Xie</a><sup>3</sup>,
-    <a href="https://ml.cs.tsinghua.edu.cn/~jun/index.shtml">Jun Zhu</a><sup>1,2†</sup>
-    <br>
-    <sup>*</sup>Equal Contribution.
-    <br>
-    <sup>†</sup>Corresponding authors.
-    <br>
-    <sup>1</sup>Tsinghua University,
-    <sup>2</sup>ShengShu,
-    <sup>3</sup>Peking University,
-</p>
-
-<div align="center">
-
-<a href='https://arxiv.org/abs/2503.15265'><img src='https://img.shields.io/badge/arXiv-2503.15265-b31b1b.svg'></a> &nbsp;&nbsp;&nbsp;&nbsp;
- <a href='https://jamesyjl.github.io/ShapeLLM/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> &nbsp;&nbsp;&nbsp;&nbsp;
- <a><img src='https://img.shields.io/badge/License-MIT-blue'></a> &nbsp;&nbsp;&nbsp;&nbsp;
-<a href="https://huggingface.co/zzzrw/DeepMesh/tree/main"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Weights-HF-orange"></a> &nbsp;&nbsp;&nbsp;&nbsp;
-<a href='https://www.youtube.com/watch?v=6grL7bSbQ2w'><img src='https://img.shields.io/badge/Youtube-Video-b31b1b.svg'>
-
-</div>
-
-## Release
-- [6/03] 🔥🔥We released the pretrained weights for both **ShapeLLM-omni** (7B) and **3DVQVAE**.
-- [6/03] 🔥🔥We released 50k high-quality 3D edited data pairs.
-
-## Important Notes
-- Please refer to our [project_page](https://zhaorw02.github.io/DeepMesh/) for more examples.
-## Todo
-- [ ] Release of training code.
-- [ ] Release of model weights featuring multi-turn dialogue and 3D editing capabilities.
-- [ ] Release of the entire 3D-Alpaca dataset.
-
-## Acknowledgement
-Our code is based on these wonderful repos:
-* **[LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)**
-* **[TRELLIS](https://github.com/microsoft/TRELLIS)**
-* **[PointLLM](https://github.com/OpenRobotLab/PointLLM)**
-* **[Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL)**
-* [LLaMA-Mesh](https://github.com/nv-tlabs/LLaMA-Mesh)
-
-
+---
+license: mit
+---