Identity preserving face completion with generative adversarial networks

As a special application of image completion technology,face image completion has an irreplaceable role in the occlusion of face recognition,portrait restoration and other issues.The existing face completion algorithm only aims at complementing the authenticity of the image without considering its i...

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Main Authors: Xudong WANG, Hongquan WEI, Chao GAO, Ruiyang HUANG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2018-08-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018070
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author Xudong WANG
Hongquan WEI
Chao GAO
Ruiyang HUANG
author_facet Xudong WANG
Hongquan WEI
Chao GAO
Ruiyang HUANG
author_sort Xudong WANG
collection DOAJ
description As a special application of image completion technology,face image completion has an irreplaceable role in the occlusion of face recognition,portrait restoration and other issues.The existing face completion algorithm only aims at complementing the authenticity of the image without considering its identity consistency after completion.A face complement algorithm based on improved generative confrontation network was designed.By introducing SN-GAN algorithm,the stability of model training was improved.At the same time,the identity recognition constraint was added to the generated image using the face recognition model.Experiments have shown that the proposed method can effectively maintain the identity of the complementary image when generating high-authenticity images.
format Article
id doaj-art-b54b175993e146c6ab1cbe87350970ec
institution Kabale University
issn 2096-109X
language English
publishDate 2018-08-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-b54b175993e146c6ab1cbe87350970ec2025-01-15T03:12:58ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-08-014717659554117Identity preserving face completion with generative adversarial networksXudong WANGHongquan WEIChao GAORuiyang HUANGAs a special application of image completion technology,face image completion has an irreplaceable role in the occlusion of face recognition,portrait restoration and other issues.The existing face completion algorithm only aims at complementing the authenticity of the image without considering its identity consistency after completion.A face complement algorithm based on improved generative confrontation network was designed.By introducing SN-GAN algorithm,the stability of model training was improved.At the same time,the identity recognition constraint was added to the generated image using the face recognition model.Experiments have shown that the proposed method can effectively maintain the identity of the complementary image when generating high-authenticity images.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018070image completionidentity preservinggenerative adversarial nets(GAN)face recognition
spellingShingle Xudong WANG
Hongquan WEI
Chao GAO
Ruiyang HUANG
Identity preserving face completion with generative adversarial networks
网络与信息安全学报
image completion
identity preserving
generative adversarial nets(GAN)
face recognition
title Identity preserving face completion with generative adversarial networks
title_full Identity preserving face completion with generative adversarial networks
title_fullStr Identity preserving face completion with generative adversarial networks
title_full_unstemmed Identity preserving face completion with generative adversarial networks
title_short Identity preserving face completion with generative adversarial networks
title_sort identity preserving face completion with generative adversarial networks
topic image completion
identity preserving
generative adversarial nets(GAN)
face recognition
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018070
work_keys_str_mv AT xudongwang identitypreservingfacecompletionwithgenerativeadversarialnetworks
AT hongquanwei identitypreservingfacecompletionwithgenerativeadversarialnetworks
AT chaogao identitypreservingfacecompletionwithgenerativeadversarialnetworks
AT ruiyanghuang identitypreservingfacecompletionwithgenerativeadversarialnetworks