@article{ART003234354},
author={Jin-Woo Cha and Kyu-Cheol Cho},
title={Attention-based Style Transfer for Korean Traditional Painting},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={8},
pages={155-163}
TY - JOUR
AU - Jin-Woo Cha
AU - Kyu-Cheol Cho
TI - Attention-based Style Transfer for Korean Traditional Painting
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 8
PB - The Korean Society Of Computer And Information
SP - 155
EP - 163
SN - 1598-849X
AB - Neural Style Transfer is being utilized in various fields while preserving the form of the image as deep learning network that changes aesthetic elements such as color and texture. Moreover many Neural Style Transfer studies have been conducted based on famous western art datasets and has shown excellent performance in westernization transfer and has contributed greatly to the development of influence in that cultural sphere. But transferring traditional korean painting styles such as ink-and-wash painting is difficult through existing methods, and related research is lacking. This paper proposes a novel network that effectively reflects the characteristics and margins of light and shade of images with combining CycleGAN and Self-Attention mechanisms. We also developed a web service that can generate images having the characteristics of korean painting using the proposed network. We hope that this service will encourage anyone to take an interest in this research topic.
KW - Neural Style Transfer;Self-Attention;Traditional Korean Painting;CycleGAN;Deep Learning
DO -
UR -
ER -
Jin-Woo Cha and Kyu-Cheol Cho. (2025). Attention-based Style Transfer for Korean Traditional Painting. Journal of The Korea Society of Computer and Information, 30(8), 155-163.
Jin-Woo Cha and Kyu-Cheol Cho. 2025, "Attention-based Style Transfer for Korean Traditional Painting", Journal of The Korea Society of Computer and Information, vol.30, no.8 pp.155-163.
Jin-Woo Cha, Kyu-Cheol Cho "Attention-based Style Transfer for Korean Traditional Painting" Journal of The Korea Society of Computer and Information 30.8 pp.155-163 (2025) : 155.
Jin-Woo Cha, Kyu-Cheol Cho. Attention-based Style Transfer for Korean Traditional Painting. 2025; 30(8), 155-163.
Jin-Woo Cha and Kyu-Cheol Cho. "Attention-based Style Transfer for Korean Traditional Painting" Journal of The Korea Society of Computer and Information 30, no.8 (2025) : 155-163.
Jin-Woo Cha; Kyu-Cheol Cho. Attention-based Style Transfer for Korean Traditional Painting. Journal of The Korea Society of Computer and Information, 30(8), 155-163.
Jin-Woo Cha; Kyu-Cheol Cho. Attention-based Style Transfer for Korean Traditional Painting. Journal of The Korea Society of Computer and Information. 2025; 30(8) 155-163.
Jin-Woo Cha, Kyu-Cheol Cho. Attention-based Style Transfer for Korean Traditional Painting. 2025; 30(8), 155-163.
Jin-Woo Cha and Kyu-Cheol Cho. "Attention-based Style Transfer for Korean Traditional Painting" Journal of The Korea Society of Computer and Information 30, no.8 (2025) : 155-163.
