EvaNet is a lightweight network that efficiently approximates image fusion metrics with improved consistency to human perception via decomposition, contrastive learning, and LLM input.
Restormer: Efficient transformer for high-resolution image restoration
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A survey categorizing weather restoration methods for smart transportation into traditional priors, CNNs, transformers, diffusion models, and VLMs, with discussions on datasets, night-time challenges, and future directions.
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EvaNet: Towards More Efficient and Consistent Infrared and Visible Image Fusion Assessment
EvaNet is a lightweight network that efficiently approximates image fusion metrics with improved consistency to human perception via decomposition, contrastive learning, and LLM input.
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Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation
A survey categorizing weather restoration methods for smart transportation into traditional priors, CNNs, transformers, diffusion models, and VLMs, with discussions on datasets, night-time challenges, and future directions.