3 accepted papers
In recent years, 3D Gaussian Splatting (3D-GS)based scene representation demonstrates significant potential in real-time rendering and training efficiency. However, most existing methods primarily focus on single-map reconstruction, while the registration and fusion of multiple 3D-GS submaps remain
Recent advancements in 3D scene understanding have made significant strides in enabling interaction with scenes using open-vocabulary queries, particularly for VR/AR and robotic applications. Nevertheless, existing methods are hindered by rigid offline pipelines and the inability to provide precise
Reconstructing dynamic roads from roadside traffic surveillance cameras is crucial for smart cities and digital twin applications. While the latest monocular depth estimation methods demonstrate strong performance, they exhibit instability in roadside scenarios. Existing reconstruction approaches fo