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Learning Robust 3D Representations via Multi-Granularity Gaussian Mixture Guided Cross-Modal Fusion
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Learning Robust 3D Representations via Multi-Granularity Gaussian Mixture Guided Cross-Modal Fusion
This paper presents a novel cross-modal framework for 3D representation learning, which is driven by a multi-granularity Gaussian mixture model (MGM) to achieve geometrically interpretable and robust feature extraction. Our key innovation reformulates representation learning as a process of hiera...
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