Image-to-Image Translation Method for Game-Character Face Generation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Shinjin | - |
dc.contributor.author | S. | - |
dc.contributor.author | Ok | - |
dc.contributor.author | Y. | - |
dc.contributor.author | Kim | - |
dc.contributor.author | H. | - |
dc.contributor.author | Hahn | - |
dc.contributor.author | T. | - |
dc.date.available | 2021-03-17T07:48:01Z | - |
dc.date.created | 2021-02-26 | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 2325-4270 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/12516 | - |
dc.description.abstract | Traditional image-to-image translation methods effectively change the style; however, these methods have several limitations in shape changing. Particularly, current image-to-image translation technology is not effective for changing a real-world face image to the face of a virtual character. To solve this problem, we propose a novel unsupervised image-to-image translation method that is specialized in facial changes accompanied by radical shape changes. We apply two feature loss functions specialized for faces in an image-to-image translation technique based on the generative adversarial network framework. The experimental results show that the proposed method is superior to other recent image-to-image algorithms in case of face deformations. © 2020 IEEE. | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Image-to-Image Translation Method for Game-Character Face Generation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kang, Shinjin | - |
dc.identifier.doi | 10.1109/CoG47356.2020.9231650 | - |
dc.identifier.scopusid | 2-s2.0-85096899939 | - |
dc.identifier.bibliographicCitation | IEEE Conference on Computatonal Intelligence and Games, CIG, v.2020-August, pp.628 - 631 | - |
dc.relation.isPartOf | IEEE Conference on Computatonal Intelligence and Games, CIG | - |
dc.citation.title | IEEE Conference on Computatonal Intelligence and Games, CIG | - |
dc.citation.volume | 2020-August | - |
dc.citation.startPage | 628 | - |
dc.citation.endPage | 631 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Game-Character Generation | - |
dc.subject.keywordAuthor | Generative Adversarial Network | - |
dc.subject.keywordAuthor | Image-to-image Translation | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.