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3D Semantic Occupancy Prediction

Uses sparse LiDAR semantic labels for training and testing

Papers

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Showing 31–40 of 47 papers

TitleStatusHype
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features—0
FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model—0
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction—0
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction—0
LMPOcc: 3D Semantic Occupancy Prediction Utilizing Long-Term Memory Prior from Historical Traversals—0
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba—0
LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction—0
MinkOcc: Towards real-time label-efficient semantic occupancy prediction—0
MR-Occ: Efficient Camera-LiDAR 3D Semantic Occupancy Prediction Using Hierarchical Multi-Resolution Voxel Representation—0
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction—0
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