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雷达卡
Re-Aging GAN: Toward Personalized Face Age Transformation
Farkhod Makhmudkhujaev, Sungeun Hong, and In Kyu Park
Dept. of Information and Communication Engineering, Inha University, Incheon 22212, Korea
{farhodfm, csehong, pik}@inha.ac.kr
Input 3 years old 5 years old 10 years old 20 years old 40 years old 60 years old
Figure 1: Continuous age transformation results by our method on the FFHQ dataset and synthesized image of StyleGAN2.
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