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

22 Jul 2018Chih-Chung HsuChia-Wen LinWeng-Tai SuGene Cheung

Despite generative adversarial networks (GANs) can hallucinate photo-realistic high-resolution (HR) faces from low-resolution (LR) faces, they cannot guarantee preserving the identities of hallucinated HR faces, making the HR faces poorly recognizable. To address this problem, we propose a Siamese GAN (SiGAN) to reconstruct HR faces that visually resemble their corresponding identities... (read more)

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