BiTGAN: bilateral generative adversarial networks for Chinese ink wash painting style transfer

IF 7.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Science China Information Sciences Pub Date : 2022-11-01 DOI:10.1007/s11432-022-3541-x

Xiao He, Mingrui Zhu, N. Wang, Xiaoyu Wang, Xinbo Gao

引用次数: 1

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中国水墨画风格转移的双边生成对抗网络

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

12.60

自引率

5.70%

发文量

224

审稿时长

8.3 months

期刊介绍： Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.