期刊论文

Zhao, Huihuang

英文

Computers & Electrical Engineering

0045-7906

2023

106

108575

10.1016/j.compeleceng.2022.108575

This work was supported by the National Natural Science Foundation of China ( 61772179 ), Hunan Provincial Natural Science Foundation of China ( 2020JJ4152 , 2022JJ50016 ), and the Science and Technology Plan Project of Hunan Province ( 2016TP1020 ). Scientific Research Fund of Hunan Provincial Education Department ( 21B0649 ), Double First-Class University Project of Hunan Province (Xiangjiaotong [2018]469), Postgraduate Scientific Research Innovation Project of Hunan Province ( CX20221285 ), Foundation of Hengyang Normal University ( KYZX21028 ), Industry University Research Innovation Foundation of Ministry of Education Science and Technology Development Center ( 2020QT09 ).

本校为第一机构

Cartoonization is a widely practiced art form that has been integrated into every aspect of our life. Although cartoonization has made significant progress, it is still challenging to produce high-quality graphics. In this paper, a new model named Convolutional Block Attention Generative Adversarial Networks (CBA-GAN) is proposed to transform real photos into cartoonish images. The proposed method can multiply the feature images of the input image to achieve adaptive feature optimization, and can flexibly adjust the proportion of edge, texture ...