Confidence-Guided Multi-scale Sparse Feature Propagation for Depth Completion
Depth completion aims to recover dense depth maps from sparse depth measurements with the guidance of aligned RGB images. Existing RGB-guided methods often suffer from unreliable sparse feature propagation and suboptimal cross-modal fusion due to the irregular distribution of valid depth observations. To address these...