{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:19:06Z","timestamp":1743131946941,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031585340"},{"type":"electronic","value":"9783031585357"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-58535-7_1","type":"book-chapter","created":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T17:01:50Z","timestamp":1719939710000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Face Image Inpainting Using Context Encoders and\u00a0Dynamically Initialized Mask"],"prefix":"10.1007","author":[{"given":"Sahil","family":"Maurya","sequence":"first","affiliation":[]},{"given":"Tushar","family":"Sandhan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,3]]},"reference":[{"key":"1_CR1","unstructured":"Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein gan (2017)"},{"key":"1_CR2","unstructured":"Bank, D., Koenigstein, N., Giryes, R.: Autoencoders. CoRR (2020)"},{"key":"1_CR3","first-page":"1044","volume":"16","author":"J Cai","year":"2021","unstructured":"Cai, J., Han, H., Cui, J., Chen, J., Liu, L., Zhou, S.K.: Semi-supervised natural face de-occlusion. IEEE TIFS 16, 1044\u20131057 (2021)","journal-title":"IEEE TIFS"},{"key":"1_CR4","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/TIP.2004.833105","volume":"13","author":"A Criminisi","year":"2004","unstructured":"Criminisi, A., Perez, P., Toyama, K.: Region filling and object removal by exemplar-based image inpainting. IEEE Trans. Image Process. 13, 1200\u20131212 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Xue, N., Zafeiriou, S.: Arcface: additive angular margin loss for deep face recognition. In: IEEE\/CVF CVPR (2019)","DOI":"10.1109\/CVPR.2019.00482"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Do, T.D., Nguyen, Q.K., Nguyen, V.H.: A multi-scale context encoder for high quality restoration of facial images. In: International Conference on Multimedia Analysis and Pattern Recognition (MAPR), pp.\u00a01\u20136 (2020)","DOI":"10.1109\/MAPR49794.2020.9237759"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Edwards, D.: On the Kantorovich-Rubinstein theorem. Int. J. Biol. Macromolec. (2011)","DOI":"10.1016\/j.exmath.2011.06.005"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Erfurt, J., Helmrich, C.R., Bosse, S., Schwarz, H., Marpe, D., Wiegand, T.: A study of the perceptually weighted peak signal-to-noise ratio (WPSNR) for image compression. In: IEEE International Conference on Image Processing (2019)","DOI":"10.1109\/ICIP.2019.8803307"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Fang, W., Gu, E., Yi, W., Wang, W., Sheng, V.S.: A new method of image restoration technology based on WGAN. In: Computer Systems Science and Engineering, pp. 689\u2013698 (2022)","DOI":"10.32604\/csse.2022.020176"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Ghosh, S.S., Hua, Y., Mukherjee, S.S., Robertson, N.M.: Improving detection and recognition of degraded faces by discriminative feature restoration using GAN. In: IEEE International Conference on Image Processing (ICIP), pp. 2146\u20132150 (2020)","DOI":"10.1109\/ICIP40778.2020.9191246"},{"key":"1_CR11","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems (2014)"},{"key":"1_CR12","unstructured":"Gupta, S., Shetty, A., Sharma, A.: Facial de-occlusion network for virtual telepresence systems (2022)"},{"key":"1_CR13","doi-asserted-by":"publisher","first-page":"12545","DOI":"10.3390\/app122412545","volume":"12","author":"M Hamza","year":"2022","unstructured":"Hamza, M., Tehsin, S., Humayun, M., Almufareh, M.F., Alfayad, M.: A comprehensive review of face morph generation and detection of fraudulent identities. Appl. Sci. 12, 12545 (2022)","journal-title":"Appl. Sci."},{"key":"1_CR14","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1109\/TPAMI.2003.1182099","volume":"25","author":"BW Hwang","year":"2003","unstructured":"Hwang, B.W., Lee, S.W.: Reconstruction of partially damaged face images based on a morphable face model. IEEE Trans. Pattern Anal. Mach. Intell. 25, 365\u2013372 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR15","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.patrec.2018.04.010","volume":"115","author":"N Jain","year":"2018","unstructured":"Jain, N., Kumar, S., Kumar, A., Shamsolmoali, P., Zareapoor, M.: Hybrid deep neural networks for face emotion recognition. Pattern Recogn. Lett. 115, 101\u2013106 (2018)","journal-title":"Pattern Recogn. Lett."},{"key":"1_CR16","unstructured":"Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of GANs for improved quality, stability, and variation (2017)"},{"key":"1_CR17","unstructured":"Kodali, N., Abernethy, J., Hays, J., Kira, Z.: On convergence and stability of GANs (2017)"},{"key":"1_CR18","doi-asserted-by":"crossref","unstructured":"Luo, Y.: Research on occlusion face detection method in complex environment. In: IEEE IMCEC, pp. 1488\u20131491 (2022)","DOI":"10.1109\/IMCEC55388.2022.10020030"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Mao, X., Li, Q., Xie, H., Lau, R.Y., Wang, Z., Smolley, S.P.: Least squares generative adversarial networks. In: IEEE ICCV (2017)","DOI":"10.1109\/ICCV.2017.304"},{"key":"1_CR20","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MCG.2021.3068035","volume":"41","author":"W Paier","year":"2021","unstructured":"Paier, W., Hilsmann, A., Eisert, P.: Example-based facial animation of virtual reality avatars using auto-regressive neural networks. IEEE Comput. Graph. Appl. 41, 52\u201363 (2021)","journal-title":"IEEE Comput. Graph. Appl."},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Pathak, D., Kr\u00e4henb\u00fchl, P., Donahue, J., Darrell, T., Efros, A.A.: Context encoders: feature learning by inpainting. In: IEEE CVPR, pp. 2536\u20132544 (2016)","DOI":"10.1109\/CVPR.2016.278"},{"key":"1_CR22","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2015)","journal-title":"Neural Netw."},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"Tu, C.T., Chen, Y.F.: Facial image inpainting with variational autoencoder. In: 2nd International Conference of Intelligent Robotic and Control Engineering (2019)","DOI":"10.1109\/IRCE.2019.00031"},{"issue":"4","key":"1_CR24","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"1_CR25","doi-asserted-by":"crossref","unstructured":"Wu, B.F., Wu, Y.C.: Masked neural sparse encoder for face occlusion detection. In: IEEE International Conference on Systems, Man, and Cybernetics (2020)","DOI":"10.1109\/SMC42975.2020.9282950"},{"key":"1_CR26","doi-asserted-by":"crossref","unstructured":"Xu, L., Zhang, H., Raitoharju, J., Gabbouj, M.: Unsupervised facial image de-occlusion with optimized deep generative models. In: Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA), pp.\u00a01\u20136 (2018)","DOI":"10.1109\/IPTA.2018.8608127"},{"key":"1_CR27","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/3446776","volume":"64","author":"C Zhang","year":"2016","unstructured":"Zhang, C., Bengio, S., Hardt, M., Recht, B., Vinyals, O.: Understanding deep learning requires rethinking generalization. Commun. ACM 64, 107\u2013115 (2016)","journal-title":"Commun. ACM"},{"key":"1_CR28","doi-asserted-by":"publisher","first-page":"3217","DOI":"10.1109\/TMM.2022.3157036","volume":"25","author":"N Zhang","year":"2022","unstructured":"Zhang, N., Liu, N., Han, J., Wan, K., Shao, L.: Face de-occlusion with deep cascade guidance learning. IEEE Trans. Multimedia 25, 3217\u20133229 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"1_CR29","first-page":"637","volume":"13","author":"S Zhang","year":"2018","unstructured":"Zhang, S., He, R., Sun, Z., Tan, T.: Demeshnet: blind face inpainting for deep meshface verification. IEEE TIFS 13, 637\u2013647 (2018)","journal-title":"IEEE TIFS"},{"key":"1_CR30","doi-asserted-by":"publisher","first-page":"3212","DOI":"10.1109\/TNNLS.2018.2876865","volume":"30","author":"ZQ Zhao","year":"2019","unstructured":"Zhao, Z.Q., Zheng, P., Xu, S.T., Wu, X.: Object detection with deep learning: a review. IEEE Trans. Neural Netw. Learn. Syst. 30, 3212\u20133232 (2019)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."}],"container-title":["Communications in Computer and Information Science","Computer Vision and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-58535-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T17:02:08Z","timestamp":1719939728000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-58535-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031585340","9783031585357"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-58535-7_1","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CVIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Vision and Image Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jammu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvip2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iitjammu.ac.in\/cvip2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Online CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"461","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"140","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}