UniRestore adapts a Stable Diffusion restoration model to simultaneously improve perceptual quality, classification accuracy, and segmentation mIoU by restoring encoder features and using task-specific prompts.
Ntire 2017 challenge on single image super-resolution: Dataset and study
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UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
UniRestore adapts a Stable Diffusion restoration model to simultaneously improve perceptual quality, classification accuracy, and segmentation mIoU by restoring encoder features and using task-specific prompts.