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.
Gaussianocc: Fully self-supervised and efficient 3d occupancy estimation with gaussian splatting.arXiv preprint arXiv:2408.11447,
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
UnsOcc proposes RenderFusion and GSRefinement to improve 3D semantic occupancy prediction in unstructured scenes by enhancing cross-modal fusion and long-tail supervision, outperforming SOTA on a new mine dataset and nuScenes.
citing papers explorer
-
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.
-
UnsOcc: 3D Semantic Occupancy Prediction in Unstructured Scene via Rendering Fusion
UnsOcc proposes RenderFusion and GSRefinement to improve 3D semantic occupancy prediction in unstructured scenes by enhancing cross-modal fusion and long-tail supervision, outperforming SOTA on a new mine dataset and nuScenes.