ICIP 2017, IEEE International Conference on Image Processing, 17-20 September 2017, Beijing, China / Also on ArXiv
It has been recently shown that Generative Adversarial Networks (GANs) can produce synthetic images of exceptional visual fidelity. In this work, we propose the GAN-based method for automatic face aging. Contrary to previous works employing GANs for altering of facial attributes, we make a particular emphasize on preserving the original person's identity in the aged version of his/her face. To this end, we introduce a novel approach for "Identity-Preserving" optimization of GAN's latent vectors. The objective evaluation of the resulting aged and rejuvenated face images by the state-of-theart face recognition and age estimation solutions demonstrate the high potential of the proposed method.
Type:
Conference
City:
Beijing
Date:
2017-09-17
Department:
Digital Security
Eurecom Ref:
5134
Copyright:
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