SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion

Figure 1. SGFormer, which adopts satellite-ground cooperative fusion, can achieve state-of-the-art performance in scene completion and semantic prediction. Benefiting from informative satellite images and a well-designed dual-branch pipeline, SGFormer can effectively improve semantic prediction accuracy and solve the long-standing visual occlusion bottleneck suffered by purely ground-view methods.