摘要
在个性化定制陶瓷日用品时,需要以低成本来高效地获取国画图案。为此,本文研究设计了一个能快速生成国画图案的深度学习模型。实验结果表明,本文的模型具有很好的写意画、山水植物画的实现效果,不仅能够生成写意的动物和人物,还能够准确地生成白描画与工笔画的特征。
When customizing ceramic daily necessities,it is necessary to obtain traditional Chinese painting patterns efficiently at low cost.This paper studies and designs a deep learning model that can quickly generate Chinese painting patterns.The experimental results show that the model in this paper has a good effect on the realization of freehand brushwork and landscape plant painting.It can not only generate freehand animals and figures,but also accurately generate the characteristics of line drawing and meticulous painting.
作者
肖佳涛
徐远纯
赵杨坤
欧阳鼎
覃文辉
XIAO Jiatao;XU Yuanchun;ZHAO Yangkun;OUYANG Ding;TAN Wunhui(School of Information and Engineering,Jingdezhen Ceramic University,Jingdezhen,China,333403)
出处
《福建电脑》
2023年第6期28-34,共7页
Journal of Fujian Computer
关键词
文本生成图像
国画图案
深度学习模型
多模态
Text-to-Images
Chinese Painting patterns
Deep Learning Model
Multimodality