Conformer and Blind Noisy Students for Improved Image Quality Assessment
Conformer and Blind Noisy Students for Improved Image Quality Assessment
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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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Contents
Generative models for image restoration, enhancement, and generation have significantly improved the quality of the generated images. Surprisingly, these models produce more pleasant images to the human eye than other methods, yet, they may get a lower perceptual quality score using traditional perceptual quality metrics such as PSNR or SSIM. There...
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Conformer and Blind Noisy Students for Improved Image Quality Assessment
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TN_cdi_proquest_journals_2656453322
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2656453322
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E-ISSN
2331-8422
