Update README.md

README.md

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 This repository contains the preprocessed evaluation and training data for the paper **BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering**.
 
-[Project Page](#) | [GitHub](#) | [arXiv](#)
+[Project Page](https://shigon255.github.io/brdfusion-page/) | [GitHub](https://github.com/shigon255/BRDFusion) | [arXiv](https://arxiv.org/abs/2606.17049)
 
 BRDFusion combines physics-based inverse rendering with generative modeling for high-quality urban scene relighting. It decomposes urban videos into geometry, materials, and HDR lighting for novel-view rendering, relighting, and scene-edit applications.
 
 ## Citation
 
 ```bibtex
-@misc{liu2026brdfusion,
-  title={BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering},
-  author={Liu, Yi-Ruei and Lee, Jie-Ying and Huang, Zheng-Hui and Liu, Yu-Lun and Lin, Chih-Hao},
-  year={2026}
+@misc{liu2026brdfusionphysicsmeetsgeneration,
+  title={BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering}, 
+  author={Yi-Ruei Liu and Jie-Ying Lee and Zheng-Hui Huang and Yu-Lun Liu and Chih-Hao Lin},
+  year={2026},
+  eprint={2606.17049},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV},
+  url={https://arxiv.org/abs/2606.17049}, 
 }
 ```