HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Text-to-image diffusion models have emerged as powerful priors for real-world image super-resolution (Real-ISR). However, existing methods may produce unintended results due to noisy text prompts and their lack of spatial information. In this paper, we present HoliSDiP, a framework that leverages semantic segmentation to provide both precise textua...
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HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
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TN_cdi_proquest_journals_3134988122
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3134988122
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2331-8422
