SOTAVerified

3D Semantic Occupancy Prediction

Uses sparse LiDAR semantic labels for training and testing

Papers

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Showing 41–47 of 47 papers

TitleStatusHype
Unified Spatio-Temporal Tri-Perspective View Representation for 3D Semantic Occupancy Prediction—0
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy PredictionCode1
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images—0
LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction—0
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints—0
PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy PredictionCode1
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
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