KSC 2017
Current Result Document :
| 한글제목(Korean Title) |
GAN(Generative Adversarial Networks)을 이용한 한국어 폰트 자동 변환 |
| 영문제목(English Title) |
Automatic Korean Fonts Transferring with Generative Adversarial Networks |
| 저자(Author) |
방가
고승현
방양
조근식
Jia Pang
Seung-hyun Ko
Yang Fang
Geun-Sik Jo
|
| 원문수록처(Citation) |
VOL 44 NO. 02 PP. 0790 ~ 0792 (2017. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
In this paper, a new network architecture for Korean fonts transfer procedures along with an adversarial network is proposed. The architecture we proposed consists of two sub-nets: (1)an unbalanced u-net is responsible for transferring specified fonts style to another while maintaining semantic and structure information; (2)an adversarial nets. Our model employs a compound loss function that includes a L1 loss, a constant loss and a binary GAN loss to help in generating desired target fonts. The experiments demonstrate that we proposed model can automatically generate convincing realistic-looking target fonts.
|
| 키워드(Keyword) |
|
| 파일첨부 |
PDF 다운로드
|
