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Pre- and post-processes for automatic colorization using a fully convolutional network

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dc.contributor.author Sophie, Ramassamy en
dc.contributor.author Kubo, Hiroyuki en
dc.contributor.author Funatomi, Takuya en
dc.contributor.author Ishii, Daichi en
dc.contributor.author Maejima, Akinobu en
dc.contributor.author Nakamura, Satoshi en
dc.date.accessioned 2020-08-31T02:02:50Z en
dc.date.available 2020-08-31T02:02:50Z en
dc.date.issued 2018-12 en
dc.identifier.isbn 978-1-4503-6063-0 en
dc.identifier.uri http://hdl.handle.net/10061/14037 en
dc.description SA '18: SIGGRAPH Asia 2018•TokyoJapan •December, 2018 ja
dc.description.abstract Automatic colorization is a significant task especially for Anime industry. An original trace image to be colorized contains not only outlines but also boundary contour lines of shadows and highlight areas. Unfortunately, these lines tend to decrease the consistency among all images. Thus, this paper provides a method for a cleaning pre-process of anime dataset to improve the prediction quality of a fully convolutional network, and a refinement post-process to enhance the output of the network. en
dc.language.iso en en
dc.relation.isreplacedby https://dl.acm.org/doi/10.1145/3283289.3283307 en
dc.rights ©2018Copyrightheldbytheowner/author(s). ja
dc.subject Anime en
dc.subject Colorization en
dc.subject Cleaning process en
dc.subject FCN en
dc.title Pre- and post-processes for automatic colorization using a fully convolutional network en
dc.type.nii Conference Paper en
dc.contributor.transcription クボ, ヒロユキ ja
dc.contributor.transcription フナトミ, タクヤ ja
dc.contributor.transcription ナカムラ, サトシ ja
dc.contributor.alternative 久保, 尋之 ja
dc.contributor.alternative 舩冨, 卓哉 ja
dc.contributor.alternative 中村, 哲 ja
dc.textversion none en
dc.relation.doi 10.1145/3283289.3283307 en
dc.identifier.NAIST-ID 74651274 en
dc.identifier.NAIST-ID 74651670 en
dc.identifier.NAIST-ID 73296626 en


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