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PROGRESSIVE POSE NORMALIZATION GENERATIVE ADVERSARIAL NETWORK FOR FRONTAL FACE SYNTHESIS AND FACE RECOGNITION UNDER LARGE POSE

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成果类型:
会议论文
作者:
Liu, Leyuan;Zhang, Li;Chen, Jingying*
通讯作者:
Chen, Jingying
作者机构:
[Liu, Leyuan; Zhang, Li; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
通讯机构:
[Chen, Jingying] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
语种:
英文
关键词:
Frontal face synthesis;Face normalization;GAN;Face recognition
期刊:
International Conference on Image Processing. Proceedings
ISSN:
1522-4880
年:
2019
页码:
4434-4438
会议名称:
26th IEEE International Conference on Image Processing (ICIP)
会议论文集名称:
IEEE International Conference on Image Processing ICIP
会议时间:
SEP 22-25, 2019
会议地点:
Taipei, TAIWAN
会议主办单位:
[Liu, Leyuan;Zhang, Li;Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
会议赞助商:
Inst Elect & Elect Engineers, Inst Elect & Elect Engineers Signal Proc Soc
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5386-6249-6
基金类别:
Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [61702208]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU19ZN004]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
This paper proposes a Progressive Pose-Normalization Generative Adversarial Network (PPN-GAN) for frontal face synthesis and face recognition. The key idea is to normalize a profile face progressively: starting from inferring an intermediate face that has a small view difference to the profile face, and then increasing the view difference step by step, until the frontal view of the profile face is recovered. In addition to the progressive strategy, an additional identity discriminator and identity-aware losses in both the image and feature spaces are also incorporated into the GAN for identity...

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