SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
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Ithaca: Cornell University Library, arXiv.org
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Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Given a grayscale photograph, the colorization system estimates a visually plausible colorful image. Conventional methods often use semantics to colorize grayscale images. However, in these methods, only classification semantic information is embedded, resulting in semantic confusion and color bleeding in the final colorized image. To address these...
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Full title
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_2463822586
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2463822586
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2011.11377
