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Weather-Conditioned Depth Anything

Xu, Zhaoming et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Monocular depth estimation foundation models, such as the Depth Anything series, have achieved remarkable performance across diverse domains. However, they still suffer from critical failures under adverse weather conditions, such as fog, rain, snow, or at night. To address this, we present Weather-
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