551 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author고민삼-
dc.date.accessioned2019-02-27T05:31:11Z-
dc.date.available2019-02-27T05:31:11Z-
dc.date.issued2017-06-
dc.identifier.citation한국정보과학회 2017년 한국컴퓨터종합학술대회 논문집, Page. 793-795en_US
dc.identifier.issn2466-0825-
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE07207384-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/99276-
dc.language.isoko_KRen_US
dc.publisher한국정보과학회en_US
dc.titleGANMOOK: Generative Adversarial Network을 이용한 수묵화 스타일 이미지 생성 기술en_US
dc.title.alternativeGANMOOK: Generative Adversarial Network to Stylize Images Like Ink Wash Paintingen_US
dc.typeArticleen_US
dc.relation.page793-795-
dc.contributor.googleauthor고민삼-
dc.contributor.googleauthor노형기-
dc.contributor.googleauthor이광희-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY-
dc.identifier.pidminsam-
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > MEDIA, CULTURE, AND DESIGN TECHNOLOGY(ICT융합학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE