• Laser Journal
  • Vol. 45, Issue 10, 94 (2024)
HE Yi1, ZHAO De2,*, REN Zemin1, QIN Haoyun1, and JIANG Pengfei1
Author Affiliations
  • 1School of Mathematical and Physical Sciences, Chongqing University of Science and Technology, Chongqing 401331, China
  • 2College of mathematics and statistics, Chongqing University, Chongqing 400000, China
  • show less
    DOI: 10.14016/j.cnki.jgzz.2024.10.094 Cite this Article
    HE Yi, ZHAO De, REN Zemin, QIN Haoyun, JIANG Pengfei. Face image restoration model based on improved pix2pix framework[J]. Laser Journal, 2024, 45(10): 94 Copy Citation Text show less

    Abstract

    The task of face image restoration can be achieved through the image-to-image translation. An improved face image restoration model is proposed based on the typical pix2pix framework in this paper. This model introduces perceptual loss and style loss on the pix2pix framework to enhance the generator's ability to handle image details and global consistency. Secondly, we integrate residual blocks in the network implementation process of the model to alleviate gradient explosion and increase the stability of the model. The experimental results show that the improved pix2pix model achieves better visual performance, with significant improvements in objective evaluation metrics such as PSNR and SSIM. These results demonstrate the effectiveness of the proposed model and provide a viable solution for the face image restoration task.
    HE Yi, ZHAO De, REN Zemin, QIN Haoyun, JIANG Pengfei. Face image restoration model based on improved pix2pix framework[J]. Laser Journal, 2024, 45(10): 94
    Download Citation