Abstract: As a key problem in computer vision, depth completion aims to recover dense depth maps from sparse ones [generally derived from light detection and ranging (LiDAR)]. Most methods introduce ...
DMD³C introduces a novel framework for fine-grained depth completion by distilling knowledge from monocular foundation models. This approach significantly enhances depth estimation accuracy in sparse ...
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