UnsOcc proposes RenderFusion and GSRefinement to improve 3D semantic occupancy prediction in unstructured scenes by enhancing cross-modal fusion and long-tail supervision, outperforming SOTA on a new mine dataset and nuScenes.
Gausstr: Foundation model-aligned gaussian trans- former for self-supervised 3d spatial understanding,
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UnsOcc: 3D Semantic Occupancy Prediction in Unstructured Scene via Rendering Fusion
UnsOcc proposes RenderFusion and GSRefinement to improve 3D semantic occupancy prediction in unstructured scenes by enhancing cross-modal fusion and long-tail supervision, outperforming SOTA on a new mine dataset and nuScenes.