{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T09:02:02Z","timestamp":1769763722428,"version":"3.49.0"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T00:00:00Z","timestamp":1649721600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T00:00:00Z","timestamp":1649721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Ministry of Electronics and Information Technology of India","award":["No.4 (13)\/2019-ITEA"],"award-info":[{"award-number":["No.4 (13)\/2019-ITEA"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s11042-022-12865-5","type":"journal-article","created":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T14:04:09Z","timestamp":1649772249000},"page":"32139-32160","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["PlasticGAN: Holistic generative adversarial network on face plastic and aesthetic surgery"],"prefix":"10.1007","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3229-2637","authenticated-orcid":false,"given":"Praveen Kumar","family":"Chandaliya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neeta","family":"Nain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,12]]},"reference":[{"key":"12865_CR1","doi-asserted-by":"crossref","unstructured":"Abozaid A, Haggag A, Kasban H (2019) Multimodal biometric scheme for human authentication technique based on voice and face recognition fusion. In: Multimedia tools and applications","DOI":"10.1007\/s11042-018-7012-3"},{"key":"12865_CR2","unstructured":"Arjovsky M, Chintala S, Bottou L (2017) Wasserstein generative adversarial networks. In: In ICML, vol 70, pp 214\u2013223"},{"key":"12865_CR3","doi-asserted-by":"crossref","unstructured":"Chandaliya PK, Kumar V, Harjani M, Nain N (2020) Scdae: Ethnicity and gender alteration on clf and utkface dataset. In: Computer vision and image processing, pp 294\u2013306. Springer singapore","DOI":"10.1007\/978-981-15-4018-9_27"},{"key":"12865_CR4","doi-asserted-by":"crossref","unstructured":"Chandaliya PK, Nain N (2019) Conditional perceptual adversarial variational autoencoder for age progression and regression on child face. In: 12Th international conference on biometrics (ICB), pp 1\u20138","DOI":"10.1109\/ICB45273.2019.8987410"},{"key":"12865_CR5","unstructured":"Chandaliya PK, Sinha A, Nain N (2020) Childface: Gender aware child face aging. In: BIOSIG 2020, pp 255\u2013263"},{"key":"12865_CR6","doi-asserted-by":"crossref","unstructured":"Chen BC, Chen CS, Hsu WH (2014) Cross-age reference coding for age-invariant face recognition and retrieval. In: (ECCV)","DOI":"10.1007\/978-3-319-10599-4_49"},{"key":"12865_CR7","doi-asserted-by":"crossref","unstructured":"Chen HJ, Hui KM, Wang SY, Tsao LW, Shuai HH, Cheng WH (2019) Beautyglow: On-demand makeup transfer framework with reversible generative network. In: IEEE CVPR","DOI":"10.1109\/CVPR.2019.01028"},{"key":"12865_CR8","unstructured":"Deb D, Aggarwal D, Jain K (2020) A.: Identifying missing children: Face age-progression via deep feature aging. In: ICPR"},{"key":"12865_CR9","doi-asserted-by":"crossref","unstructured":"Deb D, Nain N, Jain AK (2018) Longitudinal study of child face recognition. In: 2018 International conference on biometrics, ICB, pp 225\u2013232","DOI":"10.1109\/ICB2018.2018.00042"},{"key":"12865_CR10","doi-asserted-by":"crossref","unstructured":"Deng J, Zafeririou S (2019) Arcface for disguised face recognition. In: (ICCV)","DOI":"10.1109\/ICCVW.2019.00061"},{"key":"12865_CR11","unstructured":"Di X, Patel VM (2018) Face synthesis from visual attributes via sketch using conditional vaes and gans"},{"key":"12865_CR12","doi-asserted-by":"crossref","unstructured":"Eidinger E, Enbar R, Hassner T (2014) Age and gender estimation of unfiltered faces. In: IEEE-TIFS, vol 9, pp 2170\u20132179","DOI":"10.1109\/TIFS.2014.2359646"},{"key":"12865_CR13","unstructured":"Face++ research toolkit (2013) https:\/\/www.faceplusplus.com"},{"key":"12865_CR14","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley EA (2014) Generative adversarial nets. In: NIPS, pp 2672\u20132680"},{"key":"12865_CR15","unstructured":"Gulrajani I, Ahmed F, Arjovsky M, Dumoulin V, Courville AC (2017) Improved training of wasserstein gans 30"},{"key":"12865_CR16","unstructured":"Heusel M, Ramsauer H, Unterthiner T, et al. (2017) Gans trained by a two time-scale update rule converge to a local nash equilibrium. In: NIPS, pp 6629\u20136640"},{"key":"12865_CR17","doi-asserted-by":"crossref","unstructured":"Hou X, Shen L, Sun K, Qiu G (2017) Deep feature consistent variational autoencoder. In: WACV, pp 1133\u20131141","DOI":"10.1109\/WACV.2017.131"},{"key":"12865_CR18","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.neucom.2019.03.013","volume":"341","author":"X Hou","year":"2019","unstructured":"Hou X, Sun K, Shen L, Qiu G (2019) Improving variational autoencoder with deep feature consistent and generative adversarial training. Neurocomputing 341:183\u2013194","journal-title":"Neurocomputing"},{"key":"12865_CR19","doi-asserted-by":"crossref","unstructured":"Karras T, Laine S, Aila T (2019) A style-based generator architecture for generative adversarial networks. In: CVPR, pp 4396\u20134405","DOI":"10.1109\/CVPR.2019.00453"},{"key":"12865_CR20","unstructured":"Kingma DP, Ba J (2015) Adam a method for stochastic optimization. In: ICLR"},{"key":"12865_CR21","doi-asserted-by":"crossref","unstructured":"Kushwaha R, Nain N (2019) Person-verification using geometric and haralick features of footprint biometric. In: Multimedia tools and applications","DOI":"10.1007\/s11042-019-08149-0"},{"key":"12865_CR22","doi-asserted-by":"crossref","unstructured":"Ledig C, Theis L, Huszar F, Caballero J, et al. (2017) Photo realistic single image super resolution using a generative adversarial network. In: CVPR, pp 105\u2013114","DOI":"10.1109\/CVPR.2017.19"},{"key":"12865_CR23","unstructured":"Makhzani A, Shlens J, Jaitly N, Goodfellow IJ (2015) Adversarial autoencoders"},{"key":"12865_CR24","unstructured":"Maleki D, Nadalian S, Mahdi D (2018) e.a.: Blockcnn : A deep network for artifact removal and image compression. In: IEEE CVPRW"},{"key":"12865_CR25","unstructured":"Mirza M, Osindero S (2014) Conditional generative adversarial nets. arXiv:1411.1784"},{"key":"12865_CR26","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.imavis.2016.08.012","volume":"54","author":"M Nappi","year":"2016","unstructured":"Nappi M, Ricciardi S, Tistarelli M (2016) Deceiving faces: When plastic surgery challenges face recognition. Image Vis Comput 54:71\u201382","journal-title":"Image Vis Comput"},{"key":"12865_CR27","doi-asserted-by":"crossref","unstructured":"Ngan M, Grother P, Hanaoka K (2021) Ongoing face recognition vendor test (frvt) part 6b: Face recognition accuracy with face masks using post-covid-19 algorithms. In: NIST Report","DOI":"10.6028\/NIST.IR.8331"},{"key":"12865_CR28","doi-asserted-by":"publisher","first-page":"152667","DOI":"10.1109\/ACCESS.2019.2948526","volume":"7","author":"C Rathgeb","year":"2019","unstructured":"Rathgeb C, Dantcheva A, Busch C (2019) Impact and detection of facial beautification in face recognition: An overview. IEEE Access 7:152667\u2013152678","journal-title":"IEEE Access"},{"key":"12865_CR29","unstructured":"Reed SE, Akata Z, Yan X, Logeswaran L, et al. (2016) Generative adversarial text to image synthesis 48, pp 1060\u20131069"},{"key":"12865_CR30","unstructured":"Salimans T, Ian J, Goodfellow WZ, Cheung V, Radford A, Chen X (2016) Improved techniques for training gans 29"},{"key":"12865_CR31","unstructured":"Simonyan K, Zisserman A (2015) Very deep convolutional networks for large-scale image recognition. In: ICLR"},{"issue":"3","key":"12865_CR32","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1109\/TIFS.2010.2054083","volume":"5","author":"R Singh","year":"2010","unstructured":"Singh R, Vatsa M, Bhatt HS, Bharadwaj S, Noore A, Nooreyezdan SS (2010) Plastic surgery: a new dimension to face recognition. IEEE Transactions on Information Forensics and Security 5(3):441\u2013448","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"12865_CR33","doi-asserted-by":"crossref","unstructured":"Singh R, Vatsa M, Noore A (2009) Effect of plastic surgery on face recognition: a preliminary study. In: CVPRW, pp 72\u201377","DOI":"10.1109\/CVPRW.2009.5204287"},{"key":"12865_CR34","doi-asserted-by":"crossref","unstructured":"Suri S, Sankaran A, Vatsa M, Singh R (2018) On matching faces with alterations due to plastic surgery and disguise. In: BTAS, pp 1\u20137","DOI":"10.1109\/BTAS.2018.8698571"},{"key":"12865_CR35","doi-asserted-by":"crossref","unstructured":"Wang Z, Tang X (2018) W.l., Gao, S.: Face aging with identity-preserved conditional generative adversarial networks (CVPR)","DOI":"10.1109\/CVPR.2018.00828"},{"key":"12865_CR36","doi-asserted-by":"crossref","unstructured":"Yang H, Huang D, Wang Y, Jain AK (2018) Learning face age progression: a pyramid architecture of gans. In: CVPR, pp 31\u201339. IEEE Computer Society","DOI":"10.1109\/CVPR.2018.00011"},{"key":"12865_CR37","doi-asserted-by":"crossref","unstructured":"Yang L, Song Q, Wu Y (2021) Attacks on state-of-the-art face recognition using attentional adversarial attack generative network. In: Multimedia tools and applications","DOI":"10.1007\/s11042-020-09604-z"},{"key":"12865_CR38","doi-asserted-by":"crossref","unstructured":"Zhang Z, Song Y, Qi H (2017) Age progression\/regression by conditional adversarial autoencoder. In: CVPR, pp 4352\u20134360. IEEE Computer Society","DOI":"10.1109\/CVPR.2017.463"},{"issue":"10","key":"12865_CR39","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1109\/LSP.2016.2603342","volume":"23","author":"K Zhang","year":"2016","unstructured":"Zhang K, Zhang Z, Li Z, Qiao Y (2016) Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Process Lett 23(10):1499\u20131503","journal-title":"IEEE Signal Process Lett"},{"key":"12865_CR40","doi-asserted-by":"crossref","unstructured":"Zhao J, Cheng Y, Cheng Y (2019) Yang.: Look across elapse: Disentangled representation learning and photorealistic cross-age face synthesis for age-invariant face recognition AAAI","DOI":"10.1609\/aaai.v33i01.33019251"},{"key":"12865_CR41","doi-asserted-by":"crossref","unstructured":"Zhu H, Huang Z, Shan H, Zhang J (2020) Look globally age locally: Face aging with an attention mechanism","DOI":"10.1109\/ICASSP40776.2020.9054553"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12865-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-12865-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-12865-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T11:28:14Z","timestamp":1744198094000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-12865-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,12]]},"references-count":41,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["12865"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-12865-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,12]]},"assertion":[{"value":"12 November 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 April 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We declare that we have no financial and personal relationships with other people or organization that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and\/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled. \u201cPlasticGAN: Holistic Generative Adversarial Network on Face Plastic and Aesthetic Surgery\u201d.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of potential conflicts of interest"}}]}}