Journal of Computer Applications ›› 2022, Vol. 42 ›› Issue (7): 2162-2169.DOI: 10.11772/j.issn.1001-9081.2021050836
• Multimedia computing and computer simulation • Previous Articles
Wentao MAO1,2(), Guifang WU1, Chao WU1, Zhi DOU1,2
Received:
2021-05-21
Revised:
2021-08-27
Accepted:
2021-09-16
Online:
2022-03-08
Published:
2022-07-10
Contact:
Wentao MAO
About author:
WU Guifang, born in 1997. Her research interests include machine vision, style transfer.Supported by:
通讯作者:
毛文涛
作者简介:
吴桂芳(1997—),女,河南信阳人,主要研究方向:机器视觉、风格迁移基金资助:
CLC Number:
Wentao MAO, Guifang WU, Chao WU, Zhi DOU. Animation video generation model based on Chinese impressionistic style transfer[J]. Journal of Computer Applications, 2022, 42(7): 2162-2169.
毛文涛, 吴桂芳, 吴超, 窦智. 基于中国写意风格迁移的动漫视频生成模型[J]. 《计算机应用》唯一官方网站, 2022, 42(7): 2162-2169.
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URL: http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2021050836
网络 | 参数量/MB | 生成网络 大小/MB | 每张平均 生成时间/s |
---|---|---|---|
CartoonGAN | 8.18 | 42.47 | 0.497 2 |
CCGAN | 3.67 | 13.59 | 0.266 5 |
Tab. 1 Performance comparison between CartoonGAN and CCGAN
网络 | 参数量/MB | 生成网络 大小/MB | 每张平均 生成时间/s |
---|---|---|---|
CartoonGAN | 8.18 | 42.47 | 0.497 2 |
CCGAN | 3.67 | 13.59 | 0.266 5 |
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