计算机工程与应用2024，Vol.60Issue(14)：162-174,13.DOI:10.3778/j.issn.1002-8331.2304-0007
结合Pixel2style2Pixel的年龄转化方法
Age Transformation Method Combined with Pixel2style2Pixel
摘要
Abstract
Age transformation has an important role in criminal investigation,face recognition and other fields.Common age transformation methods need to use pairs of datasets with age annotations for training,and have problems such as low quality of generated images and insufficient decoupling of age semantic information.To address the above problems,in the training framework of Pix2style2Pix,age recognition,contextual loss function is introduced to make improvements to the overall loss function in line with age transformation to extract age information and ensure image quality.Secondly,it improves the coding network with loss function to edit the image in potentials space,and proposes an age transformation method based on Pixel2style2Pixel.The proposed method is validated with FFHQ and CelebA datasets,and the experi-mental results show that the improved loss function can generate transformed images that better match the desired age with face similarity distance of 0.346,FID of 45.69,SSIM of 0.593 6,and PSNR of 19.64 dB,all of which are better than the comparison method under the training set without pairwise age annotation The proposed method is proved to be able to generate high-quality,highly decoupled age-semantic transformation results.关键词
Pixel2style2Pixel/人脸年龄转化/StyleGAN/损失函数/图像处理Key words
Pixel2style2Pixel/face aging/StyleGAN/loss function/image processing分类
信息技术与安全科学引用本文复制引用
桂列林,黄山,印月..结合Pixel2style2Pixel的年龄转化方法[J].计算机工程与应用,2024,60(14):162-174,13.基金项目
四川省科技厅国际/港澳台科技创新合作项目(2022YFH0018). （2022YFH0018）
