Re-Aging GAN++: Temporally Consistent Transformation of Faces in Videos-Reference-Cited by-同舟云学术

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Re-Aging GAN++: Temporally Consistent Transformation of Faces in Videos

Published:2023 Issue: Volume:11 Page:137377-137386
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Makhmudkhujaev Farkhod¹^ORCID,Hong Sungeun²^ORCID,Park In Kyu³^ORCID

Affiliation:

1. AI and Programming Department, Tashkent University of Information Technologies, Tashkent, Uzbekistan

2. Department of Immersive Media Engineering, Sungkyunkwan University, Seoul, South Korea

3. Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea

Funder

National Research Foundation of Korea

Korean Government through MSIT

Inha University Research Grant

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/ielx7/6287639/10005208/10339323.pdf?arnumber=10339323

Reference47 articles.

1. Recent Generative Adversarial Approach in Face Aging and Dataset Review

2. Survey on Digital Video Stabilization: Concepts, Methods, and Challenges

3. Deep Face Age Progression: A Survey

4. MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

5. Age Progression/Regression by Conditional Adversarial Autoencoder

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