3D Semantic Scene Completion (SSC) can provide dense geometric and semantic scene
representations, which can be applied in the field of autonomous driving and robotic …

We present" SemCity" a 3D diffusion model for semantic scene generation in real-world
outdoor environments. Most 3D diffusion models focus on generating a single object …

Abstract Camera-based Semantic Scene Completion (SSC) is to infer the full geometry of
objects and scenes from only 2D images. The task is particularly challenging for those …

Semantic Scene Completion (SSC) aims to perform geometric completion and semantic
segmentation simultaneously. Despite the promising results achieved by existing studies …

Accurate detection of movable and moving objects in LiDAR is of vital importance for
navigation. Most existing works focus on extracting and removing moving objects during …

Semantic scene completion (SSC) can express both the semantics and geometry of an
entire 3D scene, which contributes a lot to the scene understanding capabilities of the …

In recent years, autonomous driving perception technology has rapidly advanced. 3D object
detection, as a vital task of perception, has made significant progress. Despite these …