GaussianFusion presents a 3D Gaussian-based framework that unifies multi-modal features in continuous space for 3D object detection and semantic occupancy, reporting gains over BEVFusion and GaussFormer on nuScenes.
Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction.arXiv preprint arXiv:2405.17429,
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ClickSeg3D uses a point Transformer encoder and hierarchical mask decoder with semantic embeddings to enable single-pass multi-object 3D interactive segmentation from sparse points, reporting over 20% mIoU gains versus baselines and 8-10% cross-dataset improvements with one click per instance.
citing papers explorer
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GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
GaussianFusion presents a 3D Gaussian-based framework that unifies multi-modal features in continuous space for 3D object detection and semantic occupancy, reporting gains over BEVFusion and GaussFormer on nuScenes.
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ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings
ClickSeg3D uses a point Transformer encoder and hierarchical mask decoder with semantic embeddings to enable single-pass multi-object 3D interactive segmentation from sparse points, reporting over 20% mIoU gains versus baselines and 8-10% cross-dataset improvements with one click per instance.
- VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models