专栏名称: 机器学习研究会

机器学习研究会是北京大学大数据与机器学习创新中心旗下的学生组织，旨在构建一个机器学习从事者交流的平台。除了及时分享领域资讯外，协会还会举办各种业界巨头/学术神牛讲座、学术大牛沙龙分享会、real data 创新竞赛等活动。

【推荐】人脸老化GAN模型(acGAN)，相比其他方法，可更好地保持原图面部特征

机器学习研究会 · 公众号 · AI · 2017-02-09 18:29

正文

点击上方 “机器学习研究会” 可以订阅哦

摘要

转自：爱可可-爱生活

论文《Face Aging With Conditional Generative Adversarial Networks

》提出的人脸老化GAN模型(acGAN)，相比其他方法，可更好地保持原图面部特征。

摘要：

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-the-art face recognition and age estimation solutions demonstrate the high potential of the proposed method.