{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T10:36:52Z","timestamp":1790332612186,"version":"4.1.0"},"publisher-location":"Cham","reference-count":47,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030585280","type":"print"},{"value":"9783030585297","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-58529-7_1","type":"book-chapter","created":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T09:06:09Z","timestamp":1605171969000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":134,"title":["High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling"],"prefix":"10.1007","author":[{"given":"Yu","family":"Zeng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eli","family":"Shechtman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huchuan","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,11,13]]},"reference":[{"key":"1_CR1","unstructured":"can someone please remove my co-worker on the right and just leave the rhino and my friend on the left? https:\/\/www.reddit.com\/r\/PhotoshopRequest\/comments\/82v6x1\/specific_can_someone_please_remove_my_coworker_on\/"},{"key":"1_CR2","unstructured":"Can someone please remove the backpack and \u2018lead\u2019 from my sons back? would love to have this picture of my kids without it! https:\/\/www.reddit.com\/r\/PhotoshopRequest\/comments\/6szh1i\/specific_can_someone_please_remove_the_backpack\/"},{"key":"1_CR3","unstructured":"can someone please remove the people holding the balloons and their shadows from this engagement photo? https:\/\/www.reddit.com\/r\/PhotoshopRequest\/comments\/8d12tw\/specific_can_someone_please_remove_the_people\/"},{"key":"1_CR4","unstructured":"Can someone remove the woman in purple please? will give reddit gold! https:\/\/www.reddit.com\/r\/PhotoshopRequest\/comments\/6ddjg3\/paid_specific_can_someone_remove_the_woman_in\/"},{"key":"1_CR5","unstructured":"Could someone help me remove background people - especially the guys head? will venmo $5. https:\/\/www.reddit.com\/r\/PhotoshopRequest\/comments\/b2y0o5\/specific_paid_could_someone_help_me_remove\/"},{"key":"1_CR6","unstructured":"Could someone please remove the people in the background if at all possible! https:\/\/www.reddit.com\/r\/PhotoshopRequest\/comments\/6f0g4k\/specific_could_someone_please_remove_the_people\/"},{"key":"1_CR7","unstructured":"If possible, can anyone help me remove the people on the side, esp the people facing towards the camera :) thank you. https:\/\/www.reddit.com\/r\/PhotoshopRequest\/comments\/anizco\/specific_if_possible_can_anyone_help_me_remove\/"},{"issue":"8","key":"1_CR8","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/83.935036","volume":"10","author":"C Ballester","year":"2001","unstructured":"Ballester, C., Bertalmio, M., Caselles, V., Sapiro, G., Verdera, J.: Filling-in by joint interpolation of vector fields and gray levels. IEEE Trans. Image Process. 10(8), 1200\u20131211 (2001)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"1_CR9","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1145\/1531326.1531330","volume":"28","author":"C Barnes","year":"2009","unstructured":"Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: Patchmatch: a randomized correspondence algorithm for structural image editing. ACM Trans. Graph. 28(3), 24 (2009)","journal-title":"ACM Trans. Graph."},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: The 27th Annual Conference on Computer Graphics and Interactive Techniques (2000)","DOI":"10.1145\/344779.344972"},{"key":"1_CR11","unstructured":"Caelles, S., Pont-Tuset, J., Perazzi, F., Montes, A., Maninis, K.K., Van Gool, L.: The 2019 davis challenge on vos: Unsupervised multi-object segmentation. arXiv:1905.00737 (2019)"},{"key":"1_CR12","doi-asserted-by":"crossref","unstructured":"Ding, H., Cohen, S., Price, B., Jiang, X.: Phraseclick: toward achieving flexible interactive segmentation by phrase and click. In: European Conference on Computer Vision. Springer, Heidelberg (2020)","DOI":"10.1007\/978-3-030-58580-8_25"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Ding, H., Jiang, X., Liu, A.Q., Thalmann, N.M., Wang, G.: Boundary-aware feature propagation for scene segmentation. In: IEEE International Conference on Computer Vision (2019)","DOI":"10.1109\/ICCV.2019.00692"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Ding, H., Jiang, X., Shuai, B., Liu, A.Q., Wang, G.: Context contrasted feature and gated multi-scale aggregation for scene segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00254"},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Ding, H., Jiang, X., Shuai, B., Liu, A.Q., Wang, G.: Semantic correlation promoted shape-variant context for segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition (2019)","DOI":"10.1109\/CVPR.2019.00909"},{"key":"1_CR16","doi-asserted-by":"crossref","unstructured":"Drori, I., Cohen-Or, D., Yeshurun, H.: Fragment-based image completion. In: ACM SIGGRAPH 2003 Papers, vol. 22, no. 3, pp. 303\u2013312 (2003)","DOI":"10.1145\/882262.882267"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Efros, A.A., Freeman, W.T.: Image quilting for texture synthesis and transfer. In: The 28th Annual Conference on Computer Graphics and Interactive Techniques, pp. 341\u2013346. ACM (2001)","DOI":"10.1145\/383259.383296"},{"issue":"2","key":"1_CR18","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes (voc) challenge. Int. J. Comput. Vis. 88(2), 303\u2013338 (2010)","journal-title":"Int. J. Comput. Vis."},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Fan, D.P., Cheng, M.M., Liu, J.J., Gao, S.H., Hou, Q., Borji, A.: Salient objects in clutter: bringing salient object detection to the foreground. In: European Conference on Computer Vision (2018)","DOI":"10.1007\/978-3-030-01267-0_12"},{"key":"1_CR20","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems (2014)"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Guo, Z., Chen, Z., Yu, T., Chen, J., Liu, S.: Progressive image inpainting with full-resolution residual network. In: Proceedings of the 27th ACM International Conference on Multimedia. ACM (2019)","DOI":"10.1145\/3343031.3351022"},{"issue":"4","key":"1_CR22","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/3072959.3073659","volume":"36","author":"S Iizuka","year":"2017","unstructured":"Iizuka, S., Simo-Serra, E., Ishikawa, H.: Globally and locally consistent image completion. ACM Trans. Graph. (ToG) 36(4), 107 (2017)","journal-title":"ACM Trans. Graph. (ToG)"},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"1_CR24","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"1_CR25","doi-asserted-by":"crossref","unstructured":"Kwatra, V., Essa, I., Bobick, A., Kwatra, N.: Texture optimization for example-based synthesis. In: ACM SIGGRAPH 2005 Papers, vol. 24, no. 3, pp. 795\u2013802 (2005)","DOI":"10.1145\/1073204.1073263"},{"key":"1_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/978-3-540-24673-2_31","volume-title":"Computer Vision - ECCV 2004","author":"A Levin","year":"2004","unstructured":"Levin, A., Zomet, A., Peleg, S., Weiss, Y.: Seamless image stitching in the gradient domain. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3024, pp. 377\u2013389. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24673-2_31"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Li, G., Yu, Y.: Deep contrast learning for salient object detection. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.58"},{"issue":"12","key":"1_CR28","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1109\/TPAMI.2015.2408360","volume":"37","author":"X Liang","year":"2015","unstructured":"Liang, X., et al.: Deep human parsing with active template regression. IEEE Trans. Pattern Anal. Mach. Intell. 37(12), 2402\u20132414 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR29","doi-asserted-by":"crossref","unstructured":"Liu, G., Reda, F.A., Shih, K.J., Wang, T.C., Tao, A., Catanzaro, B.: Image inpainting for irregular holes using partial convolutions. In: European Conference on Computer Vision (2018)","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"1_CR30","unstructured":"Miyato, T., Kataoka, T., Koyama, M., Yoshida, Y.: Spectral normalization for generative adversarial networks. arXiv preprint arXiv:1802.05957 (2018)"},{"key":"1_CR31","unstructured":"Nazeri, K., Ng, E., Joseph, T., Qureshi, F., Ebrahimi, M.: Edgeconnect: Generative image inpainting with adversarial edge learning. arXiv preprint arXiv:1901.00212 (2019)"},{"key":"1_CR32","doi-asserted-by":"crossref","unstructured":"Oh, S.W., Lee, S., Lee, J.Y., Kim, S.J.: Onion-peel networks for deep video completion. In: IEEE International Conference on Computer Vision (2019)","DOI":"10.1109\/ICCV.2019.00450"},{"key":"1_CR33","doi-asserted-by":"crossref","unstructured":"Park, E., Yang, J., Yumer, E., Ceylan, D., Berg, A.C.: Transformation-grounded image generation network for novel 3D view synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3500\u20133509 (2017)","DOI":"10.1109\/CVPR.2017.82"},{"key":"1_CR34","doi-asserted-by":"crossref","unstructured":"Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: Context encoders: feature learning by inpainting. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.278"},{"issue":"2","key":"1_CR35","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s11263-016-0977-3","volume":"123","author":"J Wang","year":"2017","unstructured":"Wang, J., Jiang, H., Yuan, Z., Cheng, M.M., Hu, X., Zheng, N.: Salient object detection: a discriminative regional feature integration approach. Int. J. Comput. Vision 123(2), 251\u2013268 (2017)","journal-title":"Int. J. Comput. Vision"},{"key":"1_CR36","doi-asserted-by":"crossref","unstructured":"Wang, L., Zhang, J., Wang, O., Lin, Z., Lu, H.: SDC-depth: semantic divide-and-conquer network for monocular depth estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (2020)","DOI":"10.1109\/CVPR42600.2020.00062"},{"key":"1_CR37","doi-asserted-by":"crossref","unstructured":"Xiong, W., et al.: Foreground-aware image inpainting. In: IEEE Conference on Computer Vision and Pattern Recognition (2019)","DOI":"10.1109\/CVPR.2019.00599"},{"key":"1_CR38","doi-asserted-by":"crossref","unstructured":"Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., Li, H.: High-resolution image inpainting using multi-scale neural patch synthesis. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.434"},{"key":"1_CR39","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5505\u20135514 (2018)","DOI":"10.1109\/CVPR.2018.00577"},{"key":"1_CR40","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Free-form image inpainting with gated convolution. In: IEEE International Conference on Computer Vision (2019)","DOI":"10.1109\/ICCV.2019.00457"},{"key":"1_CR41","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Fu, J., Chao, H., Guo, B.: Learning pyramid-context encoder network for high-quality image inpainting. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1486\u20131494 (2019)","DOI":"10.1109\/CVPR.2019.00158"},{"key":"1_CR42","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Lin, Z., Yang, J., Zhang, J., Shechtman, E., Lu, H.: High-resolution image inpainting with iterative confidence feedback and guided upsampling. In: European Conference on Computer Vision. Springer, Heidelberg (2020)","DOI":"10.1007\/978-3-030-58529-7_1"},{"key":"1_CR43","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Lu, H., Zhang, L., Feng, M., Borji, A.: Learning to promote saliency detectors. In: IEEE Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00177"},{"key":"1_CR44","unstructured":"Zeng, Y., Zhuge, Y., Lu, H., Zhang, L.: Joint learning of saliency detection and weakly supervised semantic segmentation. In: IEEE International Conference on Computer Vision (2019)"},{"key":"1_CR45","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Zhuge, Y., Lu, H., Zhang, L., Qian, M., Yu, Y.: Multi-source weak supervision for saliency detection. In: IEEE Conference on Computer Vision and Pattern Recognition (2019)","DOI":"10.1109\/CVPR.2019.00623"},{"key":"1_CR46","doi-asserted-by":"crossref","unstructured":"Zhang, H., Hu, Z., Luo, C., Zuo, W., Wang, M.: Semantic image inpainting with progressive generative networks. In: 2018 ACM Multimedia Conference on Multimedia Conference, pp. 1939\u20131947. ACM (2018)","DOI":"10.1145\/3240508.3240625"},{"issue":"6","key":"1_CR47","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1109\/TPAMI.2017.2723009","volume":"40","author":"B Zhou","year":"2017","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 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58529-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T00:29:35Z","timestamp":1731371375000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58529-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030585280","9783030585297"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58529-7_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"13 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2020.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OpenReview","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5025","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":"1360","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":"27% - 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":"7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic. From the ECCV Workshops 249 full papers, 18 short papers, and 21 further contributions were published out of a total of 467 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}