Work

Photo-realistic face age progression/regression using a single generative adversarial network

Year: 2019

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2019.07.085

Authors: Jiangfeng Zeng, Xiao Ma, Ke Zhou

Institutions: Central China Normal University, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Zhongnan University of Economics and Law

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China, National Key Research and Development Program of China Stem Cell and Translational Research

Awards: G2413230818, G4935671595, G6402522293

OpenAlex ID: W2965713809

FWCI: 2.438

Cites: 67

Cited by: 37

Related to: 10