Any to Full: Prompting Depth Anything for Depth Completion in One Stage
Shanshan Wang, Zhiqing Hong, Zhiyuan Zhou et al. · 5 Mar 2026
A novel one-stage depth completion framework that uses scale-prompting adaptation of pretrained monocular depth estimation models to handle varying depth sparsity and irregular distributions more efficiently than existing methods.