Weather-Conditioned Depth Anything
This work presents Weather-Conditioned Depth Anything (DA-W), a framework that explicitly disentangles style from content for weather-robust depth estimation, and introduces a Style Filter trained on a curated mix of real and synthetic degradation datasets to extract content-independent, degradation-aware weather embed...