{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T15:05:00Z","timestamp":1760367900937,"version":"3.40.3"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T00:00:00Z","timestamp":1685059200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T00:00:00Z","timestamp":1685059200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001427","name":"All India Council for Technical Education","doi-asserted-by":"crossref","award":["8-108\/FDC\/RPS(POLICY-1\/2019-20)."],"award-info":[{"award-number":["8-108\/FDC\/RPS(POLICY-1\/2019-20)."]}],"id":[{"id":"10.13039\/501100001427","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s11760-023-02602-2","type":"journal-article","created":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T06:02:11Z","timestamp":1685080931000},"page":"3749-3757","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["SAM C-GAN: a method for removal of face masks from masked faces"],"prefix":"10.1007","volume":"17","author":[{"given":"Akhil","family":"Kumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manisha","family":"Kaushal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akashdeep","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,26]]},"reference":[{"key":"2602_CR1","unstructured":"Babwin, D., Dazio, S.: Coronavirus masks a boon for crooks who hide their faces. CTV News. https:\/\/www.ctvnews.ca\/health\/coronavirus\/coronavirus-masks-a-boon-for-crooks-who-hide-their-faces-1.4942454 (2020)"},{"key":"2602_CR2","unstructured":"Gaiss, K.: Masks make it more difficult for police to identify suspects. WCAX3. https:\/\/www.wcax.com\/2021\/04\/05\/masks-make-it-more-difficult-for-police-to-identify-suspects\/ (2021)"},{"key":"2602_CR3","unstructured":"Southall, A., Van Syckle, K.: Coronavirus bandits? 2 armed men in surgical masks rob racetrack. The New York times. https:\/\/www.nytimes.com\/2020\/03\/08\/nyregion\/aqueduct-racetrack-robbery.html (2020)"},{"key":"2602_CR4","unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. https:\/\/arxiv.org\/abs\/1411.1784 (2014)"},{"key":"2602_CR5","doi-asserted-by":"publisher","first-page":"110684","DOI":"10.1016\/j.scienta.2021.110684","volume":"293","author":"JJ Bird","year":"2022","unstructured":"Bird, J.J., Barnes, C.M., Manso, L.J., Ek\u00e1rt, A., Faria, D.R.: Fruit quality and defect image classification with conditional GAN data augmentation. Sci. Hortic. 293, 110684 (2022). https:\/\/doi.org\/10.1016\/j.scienta.2021.110684","journal-title":"Sci. Hortic."},{"key":"2602_CR6","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.comcom.2021.08.010","volume":"179","author":"D Wang","year":"2021","unstructured":"Wang, D., Dong, L., Wang, R., Yan, D.: Fast speech adversarial example generation for keyword spotting system with conditional GAN. Comput. Commun. 179, 145\u2013156 (2021). https:\/\/doi.org\/10.1016\/j.comcom.2021.08.010","journal-title":"Comput. Commun."},{"key":"2602_CR7","doi-asserted-by":"publisher","first-page":"104930","DOI":"10.1016\/j.compbiomed.2021.104930","volume":"138","author":"S Jayalakshmy","year":"2021","unstructured":"Jayalakshmy, S., Sudha, G.F.: Conditional GAN based augmentation for predictive modeling of respiratory signals. Comput. Biol. Med. 138, 104930 (2021). https:\/\/doi.org\/10.1016\/j.compbiomed.2021.104930","journal-title":"Comput. Biol. Med."},{"key":"2602_CR8","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659","author":"S Izuka","year":"2017","unstructured":"Izuka, S., Simo-Serra, E., Ishikawa, H.: Globally and locally consistent image completion. ACM Trans. Graph. (2017). https:\/\/doi.org\/10.1145\/3072959.3073659","journal-title":"ACM Trans. Graph."},{"key":"2602_CR9","unstructured":"Nazeri, K., NG, E., Joseph, T., Qureshi, F.Z., Ebrahimi, M.: EdgeConnect: generative image inpainting with adversarial edge learning. https:\/\/arxiv.org\/abs\/1901.00212 (2019)"},{"key":"2602_CR10","unstructured":"Song, Y., Yang, C., Shen, Y., Wang, P., Huang, Q., Jay Kuo, C.C.: SPG-Net: segmentation prediction and guidance network for image inpainting. https:\/\/arxiv.org\/abs\/1805.03356 (2018)"},{"key":"2602_CR11","unstructured":"Shetty, R.R., Fritz, M., Schiele, B.: Adversarial scene editing: automatic object removal from weak supervision. https:\/\/arxiv.org\/abs\/1806.01911 (2018)"},{"key":"2602_CR12","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Maire, M., Belongie, S., Bourdev, L., Girshick, R., Hays, J., Perona, P., Ramanan, D., Zitnick, C.L., Doll\u00e1r, P.: Microsoft COCO: common objects in context. https:\/\/arxiv.org\/abs\/1405.0312 (2014)","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"6","key":"2602_CR13","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1109\/TPAMI.2017.2723009","volume":"40","author":"B Zhou","year":"2018","unstructured":"Zhou, B., Lapedriza, A., Khosla, A., Oliva, A., Torralba, A.: Places: a 10 million image database for scene recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6), 1452\u20131464 (2018). https:\/\/doi.org\/10.1109\/TPAMI.2017.2723009","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2602_CR14","unstructured":"Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. https:\/\/arxiv.org\/abs\/1411.7766 (2014)"},{"key":"2602_CR15","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. https:\/\/arxiv.org\/abs\/1801.07892 (2018)","DOI":"10.1109\/CVPR.2018.00577"},{"key":"2602_CR16","doi-asserted-by":"publisher","unstructured":"Deng, J., Dong, W., Socher, R., Li, L-J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), Miami, FL, USA, (2009). https:\/\/doi.org\/10.1109\/CVPR.2009.5206848","DOI":"10.1109\/CVPR.2009.5206848"},{"issue":"6","key":"2602_CR17","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1049\/iet-cvi.2018.5623","volume":"13","author":"K Javed","year":"2019","unstructured":"Javed, K., Ud, D.N., Bae, S., Yi, J.: Image unmosaicing without location information using stacked GAN. IET Comput. Vis. 13(6), 588\u2013594 (2019). https:\/\/doi.org\/10.1049\/iet-cvi.2018.5623","journal-title":"IET Comput. Vis."},{"key":"2602_CR18","doi-asserted-by":"publisher","DOI":"10.1145\/2830541","author":"C Doersch","year":"2015","unstructured":"Doersch, C., Singh, S., Gupta, A., Sivic, J., Efros, A.A.: What makes Paris look like Paris? Commun. ACM. (2015). https:\/\/doi.org\/10.1145\/2830541","journal-title":"Commun. ACM."},{"issue":"10","key":"2602_CR19","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.3390\/electronics8101115","volume":"8","author":"MKJ Khan","year":"2019","unstructured":"Khan, M.K.J., Ud, D.N., Bae, S., Yi, J.: Interactive removal of microphone object in facial images. Electronics 8(10), 1115 (2019). https:\/\/doi.org\/10.3390\/electronics8101115","journal-title":"Electronics"},{"key":"2602_CR20","doi-asserted-by":"publisher","first-page":"111602","DOI":"10.1016\/j.rse.2019.111602","volume":"237","author":"G Dong","year":"2020","unstructured":"Dong, G., Huang, W., Smith, W.A.P., Ren, P.: A shadow constrained conditional generative adversarial net for SRTM data restoration. Remote Sens. Environ. 237, 111602 (2020). https:\/\/doi.org\/10.1016\/j.rse.2019.111602","journal-title":"Remote Sens. Environ."},{"key":"2602_CR21","doi-asserted-by":"publisher","first-page":"44276","DOI":"10.1109\/ACCESS.2020.2977386","volume":"8","author":"DN Ud","year":"2020","unstructured":"Ud, D.N., Javed, K., Bae, S., Yi, J.: A novel GAN-based network for unmasking of masked face. IEEE Access 8, 44276\u201344287 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2977386","journal-title":"IEEE Access"},{"key":"2602_CR22","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. https:\/\/arxiv.org\/abs\/1505.04597 (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"2602_CR23","doi-asserted-by":"publisher","first-page":"166744","DOI":"10.1016\/j.ijleo.2021.166744","volume":"239","author":"A Kumar","year":"2021","unstructured":"Kumar, A., Kalia, A., Verma, K., Sharma, A., Kaushal, M.: Scaling up face masks detection with YOLO on a novel dataset. Optik 239, 166744 (2021). https:\/\/doi.org\/10.1016\/j.ijleo.2021.166744","journal-title":"Optik"},{"key":"2602_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03541-x","author":"A Kumar","year":"2021","unstructured":"Kumar, A., Kalia, A., Sharma, A., Kaushal, M.: A hybrid tiny YOLO v4-SPP module based improved face mask detection vision system. J. Ambient Intell. Hum. Comput. (2021). https:\/\/doi.org\/10.1007\/s12652-021-03541-x","journal-title":"J. Ambient Intell. Hum. Comput."},{"key":"2602_CR25","unstructured":"Bollywood Celebrity Faces Dataset. https:\/\/www.kaggle.com\/datasets\/havingfun\/100-bollywood-celebrity-faces (2020)"},{"key":"2602_CR26","unstructured":"Zhang, H., Goodfellow, I., Metaxas, D., Odena, A.: Self-attention generative adversarial networks. https:\/\/arxiv.org\/abs\/1805.08318 (2018)"},{"key":"2602_CR27","doi-asserted-by":"publisher","first-page":"29785","DOI":"10.1007\/s11042-022-12912-1","volume":"81","author":"Y Jiang","year":"2022","unstructured":"Jiang, Y., Yang, F., Bian, Z., Lu, C., Xia, S.: Mask removal: face inpainting via attributes. Multimed. Tools Appl. 81, 29785\u201329797 (2022). https:\/\/doi.org\/10.1007\/s11042-022-12912-1","journal-title":"Multimed. Tools Appl."},{"key":"2602_CR28","doi-asserted-by":"publisher","unstructured":"Farahanipad, F., Rezaei, M., Nasr, M., Kamangar, F., Athitsos, V.: GAN-based face reconstruction for masked-face. In: Proceedings of the 15th international conference on PErvasive technologies related to assistive environments (PETRA), Corfu, Greece, (2022). https:\/\/doi.org\/10.1145\/3529190.3534774","DOI":"10.1145\/3529190.3534774"},{"key":"2602_CR29","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. https:\/\/arxiv.org\/abs\/1512.03385 (2015)","DOI":"10.1109\/CVPR.2016.90"},{"key":"2602_CR30","unstructured":"Tan, M., Le, Q.V.: EfficientNetV2: smaller models and faster training. https:\/\/arxiv.org\/abs\/2104.00298 (2021)"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-023-02602-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-023-02602-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-023-02602-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T01:01:53Z","timestamp":1744160513000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-023-02602-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,26]]},"references-count":30,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["2602"],"URL":"https:\/\/doi.org\/10.1007\/s11760-023-02602-2","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2023,5,26]]},"assertion":[{"value":"25 July 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}