Abstract
Face age transformation aims to convert reference images into synthesized images so that they portray the specified target ages. The crux of this task is to change only age-related areas of the given image while maintaining the age-irrelevant areas unchanged. Nevertheless, a common limitation among most existing models is the struggle to generate high-quality aging images that effectively consider both crucial properties. To address this problem, we propose a novel GAN-based face-aging framework that utilizes age-aware Guidance via Masking-Based Attention (GMBA). Specifically, we devise an age-aware guidance module to adjust age-relevant and age-irrelevant attributes within the image seamlessly. By virtue of its capability, it enables the model to produce realistic age-transformed images that certainly preserve the input's identities while delicately imposing age-related properties. Experimental results show that our proposed GMBA outperformed other state-of-the-art methods in terms of identity preservation and accurate age conversion, as well as providing superior visual quality for age-transformed images. Code is available at: https://github.com/ku-milab/GMBA.
Original language | English |
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Title of host publication | CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management |
Publisher | Association for Computing Machinery |
Pages | 4165-4169 |
Number of pages | 5 |
ISBN (Electronic) | 9798400701245 |
DOIs | |
Publication status | Published - 2023 Oct 21 |
Event | 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 - Birmingham, United Kingdom Duration: 2023 Oct 21 → 2023 Oct 25 |
Publication series
Name | International Conference on Information and Knowledge Management, Proceedings |
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Conference
Conference | 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023 |
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Country/Territory | United Kingdom |
City | Birmingham |
Period | 23/10/21 → 23/10/25 |
Bibliographical note
Publisher Copyright:© 2023 Copyright held by the owner/author(s).
Keywords
- Face aging
- Image generation
- Image-to-image translation
ASJC Scopus subject areas
- General Business,Management and Accounting
- General Decision Sciences