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3D Semantic Occupancy Prediction

Uses sparse LiDAR semantic labels for training and testing

Papers

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Showing 1–10 of 47 papers

TitleStatusHype
FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model—0
Out-of-Distribution Semantic Occupancy PredictionCode1
YouTube-Occ: Learning Indoor 3D Semantic Occupancy Prediction from YouTube Videos—0
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction—0
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy PredictionCode2
VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection—0
OccLE: Label-Efficient 3D Semantic Occupancy Prediction—0
TACOcc:Target-Adaptive Cross-Modal Fusion with Volume Rendering for 3D Semantic Occupancy—0
GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention—0
OccCylindrical: Multi-Modal Fusion with Cylindrical Representation for 3D Semantic Occupancy PredictionCode0
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