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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
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy PredictionCode4
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy PredictionCode4
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial UnderstandingCode3
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy PredictionCode2
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy PredictionCode2
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
Out-of-Distribution Semantic Occupancy PredictionCode1
PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy PredictionCode1
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy PredictionCode1
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