Learning shape and texture progression for young child face aging

作者：

Highlights：

• Face aging for young faces refers to rendering the aging faces at target age for an individual, generally under 20s.

• Realistic generated face portrayals are helpful for finding missing children by offering probable aging appearances.

• Both facial shapes deform and textures vary in face aging for young child.

• During facial image synthesizing, personal identity should be preserved.

摘要

•Face aging for young faces refers to rendering the aging faces at target age for an individual, generally under 20s.•Realistic generated face portrayals are helpful for finding missing children by offering probable aging appearances.•Both facial shapes deform and textures vary in face aging for young child.•During facial image synthesizing, personal identity should be preserved.

论文关键词：Face aging,Geometry deformation,Textural Variation,Generative Adversarial Network,Image translation

论文评审过程：Received 15 January 2020, Revised 5 December 2020, Accepted 30 December 2020, Available online 4 January 2021, Version of Record 12 January 2021.

论文官网地址：https://doi.org/10.1016/j.image.2020.116127