3D Semantic Scene Completion

The 3D Semantic Scene Completion task aims to infer a dense 3D voxelized semantic scene from incomplete 3D inputs (such as point clouds, depth maps) and optional RGB images. This task achieves a comprehensive understanding of the environment by filling in missing geometric and semantic information, and it is widely applied in areas like robot navigation, virtual reality, and autonomous driving.