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3D Semantic Occupancy Prediction

Uses sparse LiDAR semantic labels for training and testing

Papers

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Showing 11–20 of 47 papers

TitleStatusHype
PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy PredictionCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
Out-of-Distribution Semantic Occupancy PredictionCode1
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy PredictionCode1
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy PredictionCode1
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
OccCylindrical: Multi-Modal Fusion with Cylindrical Representation for 3D Semantic Occupancy PredictionCode0
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction—0
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction—0
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction—0
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