Recent Generative Adversarial Approach in Face Aging and Dataset Review
Author:
Affiliation:
1. Computer Science Department, BINUS Graduate Program-Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia
2. Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Funder
U.S. Department of Commerce
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09729822.pdf?arnumber=9729822
Reference55 articles.
1. FaceFeat-GAN: A two-stage approach for identity-preserving face synthesis;shen;arXiv 1812 01288,2018
2. Child face age-progression via deep feature aging;deb;arXiv 2003 08788,2020
3. Recurrent Face Aging with Hierarchical AutoRegressive Memory
4. High resolution face age editing;yao;arXiv 2005 04410,2020
5. Conditional generative adversarial nets;mirza;arXiv 1411 1784,2014
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