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3D Semantic Occupancy Prediction

Uses sparse LiDAR semantic labels for training and testing

Papers

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Showing 1–47 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
LMPOcc: 3D Semantic Occupancy Prediction Utilizing Long-Term Memory Prior from Historical Traversals—0
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy PredictionCode1
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction—0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
MinkOcc: Towards real-time label-efficient semantic occupancy prediction—0
SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice RepresentationCode1
MR-Occ: Efficient Camera-LiDAR 3D Semantic Occupancy Prediction Using Hierarchical Multi-Resolution Voxel Representation—0
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial UnderstandingCode3
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction—0
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba—0
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction—0
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy PredictionCode4
Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial TransformationCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
OccLoff: Learning Optimized Feature Fusion for 3D Occupancy Prediction—0
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction—0
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy PredictionCode2
OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity—0
AdaOcc: Adaptive-Resolution Occupancy Prediction—0
Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance—0
VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction—0
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features—0
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy PredictionCode4
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving—0
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D PerceptionCode1
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy PredictionCode2
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles—0
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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