arXiv Computer Vision
LetOccVote: Learning Weakly Supervised 3D Occupancy through Consensus
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VoxelFix: Post-Hoc Semantic Correction of Completed 3D Voxel Maps
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Stream3Dv2: Geometric-Semantic Fusion Enhanced Streaming Zero-Shot 3D Scene Understanding
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DeWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model Priors
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SAD-GS: Learning Reliable 3D Semantic Gaussian Fields via Dynamic Geo-Semantic Anchoring
Open-vocabulary 3D semantic Gaussian field learning relies on multi-view 2D supervision, whose semantic targets and spatial assignments are often unreliable. Across varying viewpoints, view-dependent features cause semantic identity drift, while propagated tracker masks introduce boundary leakage and identity switches.
arXiv Computer Vision
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Out-of-Distribution Semantic Occupancy Prediction
arXiv:2506.21185v3 Announce Type: replace Abstract: 3D semantic occupancy prediction is crucial for autonomous driving, providing a dense, semantically rich environmental representation. However, exi...
arXiv AI
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QueryGaussian: Scalable and Training-Free Open-Vocabulary 3D Instance Retrieval
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