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ZID-Net: Zero-Inference Diffusion Prior Decoupling Network for Single Image Dehazing
Single image dehazing is often constrained by a trade-off between restoration quality and computational efficiency. While efficient, CNNs struggle to learn robust priors for dense and non-homogeneous haze. Conversely, diffusion models provide strong generative priors but suffer from severe inference
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