A dual-diffusion super-resolution model that jointly refines a semantic segmentation mask and the restored image, improving no-reference quality scores at the cost of full-reference fidelity.
Image super-resolution using deep convolutional net- works
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Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution
A dual-diffusion super-resolution model that jointly refines a semantic segmentation mask and the restored image, improving no-reference quality scores at the cost of full-reference fidelity.