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Portrait style transfer using deep convolutional neural networks and facial segmentation

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成果类型:
期刊论文
作者:
Zhao, Huihuang*;Zheng, Jinghua;Wang, Yaonan;Yuan, Xiaofang;Li, Yuhua
通讯作者:
Zhao, Huihuang
作者机构:
[Zheng, Jinghua; Zhao, Huihuang] Hunan Prov Key Lab Intelligent Informat Proc & Ap, Changsha, Hunan, Peoples R China.
[Zheng, Jinghua; Zhao, Huihuang] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
[Yuan, Xiaofang; Wang, Yaonan] Hunan Univ, Coll Elect & Informat Engn, Changsha, Peoples R China.
[Li, Yuhua] Cardiff Univ, Sch Comp Sci & Informat, Cardiff, Wales.
通讯机构:
[Zhao, Huihuang] H
Hunan Prov Key Lab Intelligent Informat Proc & Ap, Changsha, Hunan, Peoples R China.
Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
语种:
英文
关键词:
Deep convolutional neural networks;Facial segmentation;Portrait;Style transfer
期刊:
Computers & Electrical Engineering
ISSN:
0045-7906
年:
2020
卷:
85
页码:
106655
基金类别:
This work was supported by National Natural Science Foundation of China [grant number 61733004, 61503128, 61602402, 61573133], Science and Technology Plan Project of Hunan Province [grant number 2016TP1020], Scientific Research Fund of Hunan Provincial Education Department [grant number 18A333], Hengyang guided science and technology projects and Application-oriented Special Disciplines [grant number Hengkefa [2018]60-31], Double First-Class University Project of Hunan Province [grant number Xiangjiaotong [2018]469], Scientific and Technological Development Project of Hengyang City [grant number (2018)No.60-31], Postgraduate Scientific Research Innovation Project of Hunan Province [grant number CX20190998], Degree & Postgraduate Education Reform Project of Hunan Province (grant number 2019JGYB266), Postgraduate Teaching Platform Project of Hunan Province [grant number Xiangjiaotong [2019]370-321). We would like to thank NVIDIA for the GPU donation.
机构署名:
本校为通讯机构
院系归属:
计算机科学与技术学院
摘要:
When standard neural style transfer approaches are used in portrait style transfer, they often inappropriately apply textures and colours in different regions of the style portraits to the content portraits, leading to unsatisfied transfer results. This paper presents a portrait style transfer method to transfer the style of one image to another. It first proposes a combined segmentation method for the portrait parts, which segments both the style portrait and the content portrait into masks of seven parts automatically, including background, f...

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