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@@ -89,8 +89,6 @@ These datasets provide rich scene diversity across:
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  Our pipeline automatically constructs spatial supervision signals from 2D images while preserving geometric consistency and viewpoint awareness.
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- ---
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-
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  <!-- # 🚀 Sample Usage
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  This section provides guidance on how to download the SpatialForge-10M annotations and the corresponding images.
@@ -109,3 +107,14 @@ huggingface-cli download SpatialForge/SpatialForge-10M \
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  --local-dir ./SpatialForge-10M \
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  --resume-download
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  -->
 
 
 
 
 
 
 
 
 
 
 
 
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  Our pipeline automatically constructs spatial supervision signals from 2D images while preserving geometric consistency and viewpoint awareness.
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  <!-- # 🚀 Sample Usage
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  This section provides guidance on how to download the SpatialForge-10M annotations and the corresponding images.
 
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  --local-dir ./SpatialForge-10M \
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  --resume-download
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  -->
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+ ---
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+
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+ ```bibtex
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+ @article{liu2026spatialforge,
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+ title={SpatialForge: Bootstrapping 3D-Aware Spatial Reasoning from Open-World 2D Images},
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+ author={Liu, Zishan and Zang, Ruoxi and Zhang, Yanglin and Liu, Wei and Zhang, Yin and Yao, Jian and Zheng, Jiayin and Liu, Zhengzhe},
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+ journal={arXiv preprint arXiv:2605.11462},
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+ year={2026}
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+ }
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+
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+