Update dataset card with metadata and GitHub link

README.md

@@ -1,11 +1,28 @@
 ---
 license: apache-2.0
+task_categories:
+- image-to-3d
 ---
 
 # The evaluation videos for Skyfall-GS
 
-> Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
+This repository contains the evaluation videos for the paper [Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery](https://arxiv.org/abs/2510.15869).
 
-Check our project page: https://skyfall-gs.jayinnn.dev/
+[**Project Page**](https://skyfall-gs.jayinnn.dev/) | [**GitHub**](https://github.com/jayin92/skyfall-gs) | [**arXiv**](https://arxiv.org/abs/2510.15869)
 
-arXiv link: arxiv.org/abs/2510.15869
+Skyfall-GS is a hybrid framework that synthesizes immersive city-block scale 3D urban scenes by combining satellite reconstruction with diffusion refinement, eliminating the need for costly 3D annotations. It features real-time, immersive 3D exploration and a curriculum-driven iterative refinement strategy to enhance geometric completeness and photorealistic textures.
+
+## Citation
+
+If you find this work useful, please consider citing:
+
+```bibtex
+@article{lee2025SkyfallGS,
+  title = {{Skyfall-GS}: Synthesizing Immersive {3D} Urban Scenes from Satellite Imagery},
+  author = {Jie-Ying Lee and Yi-Ruei Liu and Shr-Ruei Tsai and Wei-Cheng Chang and Chung-Ho Wu and Jiewen Chan and Zhenjun Zhao and Chieh Hubert Lin and Yu-Lun Liu},
+  journal = {arXiv preprint},
+  year = {2025},
+  eprint = {2510.15869},
+  archivePrefix = {arXiv}
+}
+```