Continuous Face Aging via Self-estimated Residual Age Embedding

  title={Continuous Face Aging via Self-estimated Residual Age Embedding},
  author={Zeqi Li and Ruowei Jiang and Parham Aarabi},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  • Zeqi Li, R. Jiang, Parham Aarabi
  • Published 30 April 2021
  • Computer Science
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Face synthesis, including face aging, in particular, has been one of the major topics that witnessed a substantial improvement in image fidelity by using generative adversarial networks (GANs). Most existing face aging approaches divide the dataset into several age groups and leverage group-based training strategies, which lacks the ability to provide fine-controlled continuous aging synthesis in nature. In this work, we propose a unified network structure that embeds a linear age estimator… 
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