2025
Depth Completion With Super-Resolution and Cross-Modality Optimization
RA-L 2025
Depth completion, the process of generating dense depth maps from sparse or incomplete data, is inherently challenging due to the variability in sensor types, environmental conditions, and the differences between data modalities. In this paper, we propose a novel framework for depth completion. Firs