Update README.md

README.md

@@ -33,4 +33,27 @@ DepthVLM serves as a unified foundation model for both low-level dense geometry
 
 ## Paper
 
-[Unlocking Dense Metric Depth Estimation in VLMs](https://arxiv.org/abs/2605.15876)
+[Unlocking Dense Metric Depth Estimation in VLMs](https://arxiv.org/abs/2605.15876)
+
+## Usage
+
+Please refer to the official repository for detailed instructions on:
+
+- Data preprocessing  
+- Training  
+- Evaluation  
+- Inference and visualization  
+
+Repository: https://github.com/hanxunyu/DepthVLM
+
+## Citation
+
+If you find this work useful, please cite:
+
+```bibtex id="k2m9wq"
+@article{yu2026unlocking,
+  title={Unlocking Dense Metric Depth Estimation in VLMs},
+  author={Hanxun Yu and Xuan Qu and Yuxin Wang and Jianke Zhu and Lei Ke},
+  journal={arXiv preprint arXiv:2605.15876},
+  year={2026}
+}