Update README.md

README.md

@@ -6,7 +6,7 @@ base_model:
 
 # DiT360: High-Fidelity Panoramic Image Generation via Hybrid Training
 
-<a><img src='https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white' alt='arXiv'></a>
+<a href='https://arxiv.org/abs/2510.11712'><img src='https://img.shields.io/badge/arXiv-Paper-red?logo=arxiv&logoColor=white' alt='arXiv'></a>
 <a href='https://fenghora.github.io/DiT360-Page/'><img src='https://img.shields.io/badge/Project_Page-Website-green?logo=insta360&logoColor=white' alt='Project Page'></a>
 <a href='https://huggingface.co/spaces/Insta360-Research/DiT360'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Live_Demo-blue'></a>
 <a href='https://huggingface.co/datasets/Insta360-Research/Matterport3D_polished'><img src='https://img.shields.io/badge/%F0%9F%93%88%20Hugging%20Face-Dataset-yellow'></a>
@@ -56,7 +56,13 @@ We appreciate the open source of the following projects:
 
 ## Citation
 ```
-
+@misc{dit360,
+    title={DiT360: High-Fidelity Panoramic Image Generation via Hybrid Training}, 
+    author={Haoran Feng and Dizhe Zhang and Xiangtai Li and Bo Du and Lu Qi},
+    year={2025},
+    eprint={2510.11712},
+    archivePrefix={arXiv},
+}
 ```
 
 More details and future updates can be found on our GitHub repository: [DiT360](https://github.com/Insta360-Research-Team/DiT360)