K-Hairstyle: A Large-Scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification

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dc.contributor.authorKim, Taewooko
dc.contributor.authorChung, Chaeyeonko
dc.contributor.authorPark, Sunghyunko
dc.contributor.authorGu, Gyojungko
dc.contributor.authorNam, Keonminko
dc.contributor.authorChoe, Wonzoko
dc.contributor.authorLee, Jaesungko
dc.contributor.authorChoo, Jaegulko
dc.date.accessioned2021-12-14T06:51:47Z-
dc.date.available2021-12-14T06:51:47Z-
dc.date.created2021-12-03-
dc.date.created2021-12-03-
dc.date.issued2021-09-22-
dc.identifier.citation2021 IEEE International Conference on Image Processing(ICIP), pp.1299 - 1303-
dc.identifier.urihttp://hdl.handle.net/10203/290621-
dc.description.abstractThe hair and beauty industry is a fast-growing industry. This led to the development of various applications, such as virtual hair dyeing or hairstyle translations, to satisfy the customer needs. Although several hairstyle datasets are available for these applications, they often consist of a relatively small number of images with low resolution, thus limiting their performance on high-quality hair editing. In response, we introduce a novel large-scale Korean hairstyle dataset, K-hairstyle, containing 500,000 high-resolution images. In addition, K-hairstyle includes various hair attributes annotated by Korean expert hairstylists as well as hair segmentation masks. We validate the effectiveness of our dataset via several applications, such as hair dyeing, hairstyle translation, and hairstyle classification. K-hairstyle is publicly available at https://psh01087.github.io/K-Hairstyle.-
dc.languageEnglish-
dc.publisherICIP-
dc.titleK-Hairstyle: A Large-Scale Korean Hairstyle Dataset for Virtual Hair Editing and Hairstyle Classification-
dc.typeConference-
dc.identifier.wosid000819455101084-
dc.type.rimsCONF-
dc.citation.beginningpage1299-
dc.citation.endingpage1303-
dc.citation.publicationname2021 IEEE International Conference on Image Processing(ICIP)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.identifier.doi10.1109/ICIP42928.2021.9506557-
dc.contributor.localauthorChoo, Jaegul-
dc.contributor.nonIdAuthorKim, Taewoo-
dc.contributor.nonIdAuthorChung, Chaeyeon-
dc.contributor.nonIdAuthorPark, Sunghyun-
dc.contributor.nonIdAuthorGu, Gyojung-
dc.contributor.nonIdAuthorNam, Keonmin-
dc.contributor.nonIdAuthorChoe, Wonzo-
dc.contributor.nonIdAuthorLee, Jaesung-
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