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This work finds that point clouds are substantially more reliable than RGB under zero-shot category shift, and designs a Multi-view Information Decoupling module to suppress heterogeneous information from multi-view point cloud projections and enhance point cloud feature quality.
SeeU redefines 3D rendering by leveraging semantic cues to recover hidden structures, achieving unprecedented quality in sparse-view settings.