Consensus-Agent Deep Reinforcement Learning for Face Aging-Reference-Cited by-同舟云学术

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Consensus-Agent Deep Reinforcement Learning for Face Aging

Published:2024 Issue: Volume:33 Page:1795-1809
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lin Ling¹,Liu Hao¹^ORCID,Liang Jinqiao¹,Li Zhendong¹^ORCID,Feng Jiao²,Han Hu³^ORCID

Affiliation:

1. School of Information Engineering, Ningxia University, Yinchuan, China

2. School of Innovation and Entrepreneurship, Ningxia University, Yinchuan, China

3. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of Ningxia

National Science Foundation of Ningxia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10458950.pdf?arnumber=10458950

Reference83 articles.

1. Prototyping and transforming facial textures for perception research

2. Facial aging simulator considering geometry and patch-tiled texture

3. Illumination-Aware Age Progression

4. A Compositional and Dynamic Model for Face Aging

5. Generative adversarial nets;Goodfellow

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