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Facial aging simulator considering geometry and patch-tiled texture

Authors:

Yusuke Tazoe,

Hiroaki Gohara,

Akinobu Maejima,

Shigeo MorishimaAuthors Info & Claims

SIGGRAPH '12: ACM SIGGRAPH 2012 Posters

Article No.: 90, Page 1

https://doi.org/10.1145/2342896.2343002

Published: 05 August 2012 Publication History

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Abstract

People can estimate an approximate age of others by looking at their faces. This is because faces have certain elements by which people can judge a person's age. If computers can extract and manipulate such information, wide variety of applications for entertainment and security purpose would be expected.

References

[1]

K. Scherbaum et al, "Prediction of Individual Non-Linear Aging Trajectories of Faces" Proc. Ann. Conf. European Assoc. Computer Graphics, Vol. 26, No. 3, pp. 285--294, 2007

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[2]

U.Mohammed et al, "Visio-lization: Generating Novel Facial Images" ACM Transactions on Graphics (Proceedings SIGGRAPH 2009), 28(3), No. 4, pp. 57(1)--57(8), 2009

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Li XGuarnera GLin AGhosh A(2024)Realistic Facial Age Transformation with 3D UpliftingComputer Graphics Forum10.1111/cgf.1514643:4Online publication date: 24-Jul-2024
https://doi.org/10.1111/cgf.15146
Lin LLiu HLiang JLi ZFeng JHan H(2024)Consensus-Agent Deep Reinforcement Learning for Face AgingIEEE Transactions on Image Processing10.1109/TIP.2024.336407433(1795-1809)Online publication date: 2024
https://doi.org/10.1109/TIP.2024.3364074
Lin LWang TLiu HZhu CChen J(2024)Toward Quantifiable Face Age Transformation Under Attribute UnbiasIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.342266134:11(11768-11782)Online publication date: Nov-2024
https://doi.org/10.1109/TCSVT.2024.3422661
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Published In

SIGGRAPH '12: ACM SIGGRAPH 2012 Posters

August 2012

131 pages

ISBN:9781450316828

DOI:10.1145/2342896

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 05 August 2012

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SIGGRAPH '12: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 5 - 9, 2012

California, Los Angeles

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Li XGuarnera GLin AGhosh A(2024)Realistic Facial Age Transformation with 3D UpliftingComputer Graphics Forum10.1111/cgf.1514643:4Online publication date: 24-Jul-2024
https://doi.org/10.1111/cgf.15146
Lin LLiu HLiang JLi ZFeng JHan H(2024)Consensus-Agent Deep Reinforcement Learning for Face AgingIEEE Transactions on Image Processing10.1109/TIP.2024.336407433(1795-1809)Online publication date: 2024
https://doi.org/10.1109/TIP.2024.3364074
Lin LWang TLiu HZhu CChen J(2024)Toward Quantifiable Face Age Transformation Under Attribute UnbiasIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.342266134:11(11768-11782)Online publication date: Nov-2024
https://doi.org/10.1109/TCSVT.2024.3422661
Hsieh TLiu TLiu K(2024)Facial Age Synthesis by StyleGAN2 with Attention2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)10.1109/ICCE-Taiwan62264.2024.10674148(93-94)Online publication date: 9-Jul-2024
https://doi.org/10.1109/ICCE-Taiwan62264.2024.10674148
Chandaliya PRaja KRajendra GNain NRamachandra RBusch C(2024)MuSTAT: Face Ageing Using Multi-scale Target Age Style TransferComputer Vision and Image Processing10.1007/978-3-031-58174-8_17(186-199)Online publication date: 3-Jul-2024
https://doi.org/10.1007/978-3-031-58174-8_17
Yibo WKe ZYinghui KTingting YShiwei Z(2023)Overview of human-facial-related age syntheis based generative adversarial network methodsJournal of Image and Graphics10.11834/jig.22084228:10(3004-3024)Online publication date: 2023
https://doi.org/10.11834/jig.220842
Sengar HNazir ISrinivasan S(2023)Facial Detection and the Effect of Ageing2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)10.1109/ICAC3N60023.2023.10541570(666-671)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICAC3N60023.2023.10541570
Kale AAltun O(2023)Face age synthesis: A review on datasets, methods, and open research areasPattern Recognition10.1016/j.patcog.2023.109791143(109791)Online publication date: Nov-2023
https://doi.org/10.1016/j.patcog.2023.109791
Huang XGong M(2023)Enhanced face aging using dual-learning and muti-attention mechanismApplied Intelligence10.1007/s10489-023-04713-253:20(23383-23397)Online publication date: 10-Jul-2023
https://doi.org/10.1007/s10489-023-04713-2
Song JZhang JGao LZhao ZShen H(2022)AgeGAN++: Face Aging and Rejuvenation With Dual Conditional GANsIEEE Transactions on Multimedia10.1109/TMM.2021.305933624(791-804)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3059336
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