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- ---
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- license: apache-2.0
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- ---
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- # GeoWorld: Providing Full-frame Geometry Features to Facilitate 3D Scene Generation
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- 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).
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- Authors: Yuhao Wan, Lijuan Liu, Jingzhi Zhou, Zihan Zhou, Xuying Zhang, Dongbo Zhang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
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-
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- [Project Page](https://peaes.github.io/GeoWorld/) | [Paper(arXiv)](https://arxiv.org/abs/2511.23191) | [Code](https://github.com/peaes/GeoWorld)
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-
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- 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).
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-
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- ## Usage
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- Please refer to the [official GitHub repository](https://github.com/peaes/GeoWorld) for installation instructions.
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- ## Citation
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-
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- ```bibtex
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- @article{wan2025geoworld,
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- title={GeoWorld: Unlocking the Potential of Geometry Models to Facilitate High-Fidelity 3D Scene Generation},
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- 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},
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- journal={arXiv preprint arXiv:2511.23191},
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- year={2025}
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- }
 
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  ```
 
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+ ---
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+ license: apache-2.0
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+ pipeline_tag: image-to-3d
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+ ---
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+
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+ # GeoWorld: Providing Full-frame Geometry Features to Facilitate 3D Scene Generation
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+
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+ 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).
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+
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+ Authors: Yuhao Wan, Lijuan Liu, Jingzhi Zhou, Zihan Zhou, Xuying Zhang, Dongbo Zhang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
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+
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+ [Project Page](https://peaes.github.io/GeoWorld/) | [Paper(arXiv)](https://arxiv.org/abs/2511.23191) | [Code](https://github.com/peaes/GeoWorld)
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+
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+ 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).
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+
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+ ## Usage
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+
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+ Please refer to the [official GitHub repository](https://github.com/peaes/GeoWorld) for installation instructions.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{wan2025geoworld,
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+ title={GeoWorld: Unlocking the Potential of Geometry Models to Facilitate High-Fidelity 3D Scene Generation},
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+ 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},
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+ journal={arXiv preprint arXiv:2511.23191},
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+ year={2025}
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+ }
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  ```