Update README.md

README.md

@@ -24,6 +24,7 @@ dataset_info:
 ---
 # Geospecific View Generation - Geometry-Context Aware High-resolution Ground View Inference from Satellite Views
 
+[**🌐 Homepage**](https://gdaosu.github.io/geocontext/) [**🤗 Paper**](https://arxiv.org/abs/2407.08061)
 This page contains the dataset for the paper.
 
 ## Introduction
@@ -38,3 +39,18 @@ The GeoContext-v1 contains 4463 pairs of satellite-ground data. Including:
   * <strong>ground_depth</strong>: [256x512x1] ground-view satellite depth, generated in same way as "ground_rgb"
   * <strong>gt</strong>: [256x512x3] ground truth ground-view rgb, downloaded from google street 360.
 
+## Citation
+
+**BibTex:**
+```bibtex
+@misc{xu2024geospecificviewgeneration,
+      title={Geospecific View Generation -- Geometry-Context Aware High-resolution Ground View Inference from Satellite Views}, 
+      author={Ningli Xu and Rongjun Qin},
+      year={2024},
+      eprint={2407.08061},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2407.08061}, 
+}
+```
+