Add pipeline tag and links to paper and code
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by nielsr HF Staff - opened
README.md
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license: mit
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library_name: pytorch
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tags:
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---
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# GeoState
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GeoState represents a scene using a compact, view-decoupled geometry state. A world model predicts future states from four historical states, and a camera-conditioned geometry decoder produces depth maps from a specified viewpoint.
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## License
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The GeoState artifacts in this repository are released under the MIT License; see `LICENSE`. Separately obtained VGGT-Ω code and weights remain subject to their upstream FAIR Noncommercial Research License and Acceptable Use Policy.
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library_name: pytorch
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license: mit
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pipeline_tag: depth-estimation
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tags:
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- depth-estimation
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- geometry
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- world-model
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- video
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# GeoState
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**Paper:** [GeoState: Learning View-Decoupled Geometry States for 3D World Modeling](https://arxiv.org/abs/2610.22343)
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**Code:** [GitHub Repository](https://github.com/Hongchang-Liu/GeoState)
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**Project page:** [GeoState Project Page](https://hongchang-liu.github.io/GeoState-project-page/)
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Inference checkpoints for **GeoState: Learning View-Decoupled Geometry States for 3D World Modeling**.
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GeoState represents a scene using a compact, view-decoupled geometry state. A world model predicts future states from four historical states, and a camera-conditioned geometry decoder produces depth maps from a specified viewpoint.
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## License
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The GeoState artifacts in this repository are released under the MIT License; see `LICENSE`. Separately obtained VGGT-Ω code and weights remain subject to their upstream FAIR Noncommercial Research License and Acceptable Use Policy.
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