demonstration

Deep Face Beautification

Authors:

Shuicheng YanAuthors Info & Claims

MM '15: Proceedings of the 23rd ACM international conference on Multimedia

Pages 793 - 794

https://doi.org/10.1145/2733373.2807966

Published: 13 October 2015 Publication History

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Abstract

The beautification of human photos usually requires professional editing softwares, which are difficult for most users. In this technical demonstration, we propose a deep face beautification framework, which is able to automatically modify the geometrical structure of a face so as to boost the attractiveness. A learning based approach is adopted to capture the underlying relations between the facial shape and the attractiveness via training the Deep Beauty Predictor (DBP). Relying on the pre-trained DBP, we construct the BeAuty SHaper (BASH) to infer the "flows" of landmarks towards the maximal aesthetic level. BASH modifies the facial landmarks with the direct guidance of the beauty score estimated by DBP.

References

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A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.

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[2]

T. Leyvand, D. Cohen-Or, G. Dror, and D. Lischinski. Data-driven enhancement of facial attractiveness. TOG, 2008.

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[3]

L. Liu, J. Xing, S. Liu, H. Xu, X. Zhou, and S. Yan. Wow! you are so beautiful today! ACM TOMM, 2014.

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T. V. Nguyen, S. Liu, B. Ni, J. Tan, Y. Rui, and S. Yan. Sense beauty via face, dressing, and/or voice. In ACM MM, 2012.

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Cited By

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LYU HLI JYE YCHANG C(2024)A Ranking Information Based Network for Facial Beauty PredictionIEICE Transactions on Information and Systems10.1587/transinf.2023EDP7203E107.D:6(772-780)Online publication date: 1-Jun-2024
https://doi.org/10.1587/transinf.2023EDP7203
SUN ZXIAO ZYU YLIN L(2024)Dynamic Attentive Convolution for Facial Beauty PredictionIEICE Transactions on Information and Systems10.1587/transinf.2023EDL8058E107.D:2(239-243)Online publication date: 1-Feb-2024
https://doi.org/10.1587/transinf.2023EDL8058
Chen MLau M(2024)Enhancing the Aesthetics of 3D Shapes via Reference-based EditingACM Transactions on Graphics10.1145/368795443:6(1-15)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687954
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Index Terms

Deep Face Beautification
1. Applied computing

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Information & Contributors

Information

Published In

MM '15: Proceedings of the 23rd ACM international conference on Multimedia

October 2015

1402 pages

ISBN:9781450334594

DOI:10.1145/2733373

General Chairs:
Xiaofang Zhou
The University of Queensland, Australia
,
Alan F. Smeaton
Dublin City University, Ireland
,
Qi Tian
The University of Texas at San Antonio, USA
,
Program Chairs:
Dick C.A. Bulterman
FXPAL, USA
,
Heng Tao Shen
The University of Queensland, Australia
,
Ketan Mayer-Patel
The University of North Carolina, USA
,
Shuicheng Yan
National University of Singapore, Singapore

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 October 2015

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MM '15

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SIGMM

MM '15: ACM Multimedia Conference

October 26 - 30, 2015

Brisbane, Australia

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MM '15 Paper Acceptance Rate 56 of 252 submissions, 22%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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LYU HLI JYE YCHANG C(2024)A Ranking Information Based Network for Facial Beauty PredictionIEICE Transactions on Information and Systems10.1587/transinf.2023EDP7203E107.D:6(772-780)Online publication date: 1-Jun-2024
https://doi.org/10.1587/transinf.2023EDP7203
SUN ZXIAO ZYU YLIN L(2024)Dynamic Attentive Convolution for Facial Beauty PredictionIEICE Transactions on Information and Systems10.1587/transinf.2023EDL8058E107.D:2(239-243)Online publication date: 1-Feb-2024
https://doi.org/10.1587/transinf.2023EDL8058
Chen MLau M(2024)Enhancing the Aesthetics of 3D Shapes via Reference-based EditingACM Transactions on Graphics10.1145/368795443:6(1-15)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687954
Liu QZhang SMeng QZhong BLiu PYao H(2024)End-to-End Human Instance MattingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.3306400(1-1)Online publication date: 2024
https://doi.org/10.1109/TCSVT.2023.3306400
Li YZhang TChen C(2024)Broad Siamese Network for Facial Beauty PredictionIEEE Transactions on Artificial Intelligence10.1109/TAI.2024.34292935:11(5786-5800)Online publication date: Nov-2024
https://doi.org/10.1109/TAI.2024.3429293
Bae JBuu SLee S(2024)Anchor-Net: Distance-Based Self-Supervised Learning Model for Facial Beauty PredictionIEEE Access10.1109/ACCESS.2024.339487012(61375-61387)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3394870
Sun ZLin LYu YJin L(2024)Learning feature alignment across attribute domains for improving facial beauty predictionExpert Systems with Applications10.1016/j.eswa.2024.123644249(123644)Online publication date: Sep-2024
https://doi.org/10.1016/j.eswa.2024.123644
Ruoqi SMa L(2024)Face Beautification in AntiageEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_99(689-694)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_99
Wang TZhang YZhao R(2023)Face Database Protection via Beautification with Chaotic SystemsEntropy10.3390/e2504056625:4(566)Online publication date: 25-Mar-2023
https://doi.org/10.3390/e25040566
Chen WChen PChen WLin L(2023)Customized Automatic Face BeautificationICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10096554(1-5)Online publication date: 4-Jun-2023
https://doi.org/10.1109/ICASSP49357.2023.10096554
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Recommendations

Eigen-domain Relighting of Face Images for Illumination-invariant Face Verification

Facial reshaping operator for controllable face beautification

The Influence of the Other-Race Effect on Susceptibility to Face Morphing Attacks

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