SiGAN : Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination

Though generative adversarial networks (GANs) can hallucinate high-quality high-resolution (HR) faces from low-resolution (LR) faces, they cannot ensure identity preservation during face hallucination, making the HR faces difficult to recognize. To address this problem, we propose a Siamese GAN (SiG...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 12 vom: 15. Dez., Seite 6225-6236
1. Verfasser:	Hsu, Chih-Chung (VerfasserIn)
Weitere Verfasser:	Lin, Chia-Wen, Su, Weng-Tai, Cheung, Gene
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2019
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article