Robust Depth Super-Resolution via Adaptive Diffusion Sampling

Kun Wang, Yun Zhu, Pan Zhou +1

We propose AdaDS, a generalizable framework for depth super-resolution that robustly recovers high-resolution depth maps from arbitrarily degraded low-resolution inputs. Unlike con…