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README.md

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----
-license: apache-2.0
----
-
-# GeoWorld: Providing Full-frame Geometry Features to Facilitate 3D Scene Generation
-
-This repository contains the model weights for GeoWorld, presented in the paper [GeoWorld: Providing Full-frame Geometry Features to Facilitate 3D Scene Generation](https://huggingface.co/papers/2511.23191).
-
-Authors: Yuhao Wan, Lijuan Liu, Jingzhi Zhou, Zihan Zhou, Xuying Zhang, Dongbo Zhang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
-
-[Project Page](https://peaes.github.io/GeoWorld/) | [Paper(arXiv)](https://arxiv.org/abs/2511.23191) | [Code](https://github.com/peaes/GeoWorld) 
-
-TL;DR: GeoWorld uses a two-stage video-generation pipeline with full-frame geometry features to produce high-fidelity image-to-3D scenes faster than prior methods (7.5× faster than Hunyuan-Voyager).
-
-## Usage
-
-Please refer to the [official GitHub repository](https://github.com/peaes/GeoWorld) for installation instructions.
-
-## Citation
-
-```bibtex
-@article{wan2025geoworld,
-  title={GeoWorld: Unlocking the Potential of Geometry Models to Facilitate High-Fidelity 3D Scene Generation},
-  author={Wan, Yuhao and Liu, Lijuan and Zhou, Jingzhi and Zhou, Zihan and Zhang, Xuying and Zhang, Dongbo and Jiao, Shaohui and Hou, Qibin and Cheng, Ming-Ming},
-  journal={arXiv preprint arXiv:2511.23191},
-  year={2025}
-}
+---
+license: apache-2.0
+---
+
+# GeoWorld: Providing Full-frame Geometry Features to Facilitate 3D Scene Generation
+
+This repository contains the model weights for GeoWorld, presented in the paper [GeoWorld: Providing Full-frame Geometry Features to Facilitate 3D Scene Generation](https://huggingface.co/papers/2511.23191).
+
+Authors: Yuhao Wan, Lijuan Liu, Jingzhi Zhou, Zihan Zhou, Xuying Zhang, Dongbo Zhang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
+
+[Project Page](https://peaes.github.io/GeoWorld/) | [Paper(arXiv)](https://arxiv.org/abs/2511.23191) | [Code](https://github.com/peaes/GeoWorld) 
+
+TL;DR: GeoWorld uses a two-stage video-generation pipeline with full-frame geometry features to produce high-fidelity image-to-3D scenes faster than prior methods (7.5× faster than Hunyuan-Voyager).
+
+## Usage
+
+Please refer to the [official GitHub repository](https://github.com/peaes/GeoWorld) for installation instructions.
+
+## Citation
+
+```bibtex
+@article{wan2025geoworld,
+  title={GeoWorld: Unlocking the Potential of Geometry Models to Facilitate High-Fidelity 3D Scene Generation},
+  author={Wan, Yuhao and Liu, Lijuan and Zhou, Jingzhi and Zhou, Zihan and Zhang, Xuying and Zhang, Dongbo and Jiao, Shaohui and Hou, Qibin and Cheng, Ming-Ming},
+  journal={arXiv preprint arXiv:2511.23191},
+  year={2025}
+}
 ```

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