CMAWRNet, a unified quaternion neural architecture with texture-structure decomposition and attentive fusion, reports better PSNR/SSIM than prior universal weather-removal models on rain-fog, snow, and raindrop benchmarks.
A survey of quaternion neural networks,
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CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture
CMAWRNet, a unified quaternion neural architecture with texture-structure decomposition and attentive fusion, reports better PSNR/SSIM than prior universal weather-removal models on rain-fog, snow, and raindrop benchmarks.