Gender based face aging with cycle-consistent adversarial networks

作者：

Highlights：

• Explains the challenges in the existing face aging problem and proposes solutions.

• A gender-constrained model is proposed that does not require paired data.

• Put forward a persuasive experimental evaluation method.

• Improved the performance of the current face aging model.

摘要

•Explains the challenges in the existing face aging problem and proposes solutions.•A gender-constrained model is proposed that does not require paired data.•Put forward a persuasive experimental evaluation method.•Improved the performance of the current face aging model.

论文关键词：Face aging,Age estimation,Image-to-Image translation,Age group classification,Cycle-Consistent Generative Adversarial Networks,Subjective test

论文评审过程：Received 19 January 2020, Revised 25 April 2020, Accepted 15 May 2020, Available online 28 May 2020, Version of Record 16 June 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.103945