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Zi-Hao Zhu

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Preprint Sep 2026

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...

Zhao Xu, Chan-Wei Hu, Kuan Huang et al. · 0 citations

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