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3D Semantic Occupancy Prediction
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Uses sparse LiDAR semantic labels for training and testing
논문
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Out-of-Distribution Semantic Occupancy Prediction
YouTube-Occ: Learning Indoor 3D Semantic Occupancy Prediction from YouTube Videos
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection
OccLE: Label-Efficient 3D Semantic Occupancy Prediction
TACOcc:Target-Adaptive Cross-Modal Fusion with Volume Rendering for 3D Semantic Occupancy
GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention
OccCylindrical: Multi-Modal Fusion with Cylindrical Representation for 3D Semantic Occupancy Prediction
LMPOcc: 3D Semantic Occupancy Prediction Utilizing Long-Term Memory Prior from Historical Traversals
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection
MinkOcc: Towards real-time label-efficient semantic occupancy prediction
SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation
MR-Occ: Efficient Camera-LiDAR 3D Semantic Occupancy Prediction Using Hierarchical Multi-Resolution Voxel Representation
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction
GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction
Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction
OccLoff: Learning Optimized Feature Fusion for 3D Occupancy Prediction
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction
DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction
OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity
AdaOcc: Adaptive-Resolution Occupancy Prediction
Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance
VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
$α$-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.