{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:30:05Z","timestamp":1775068205803,"version":"3.50.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076188"],"award-info":[{"award-number":["62076188"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Major Project of Hubei Province","award":["2019AEA170"],"award-info":[{"award-number":["2019AEA170"]}]},{"DOI":"10.13039\/501100007046","name":"supercomputing system in the Supercomputing Center of Wuhan University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007046","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2020.3048629","type":"journal-article","created":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T01:28:19Z","timestamp":1610242099000},"page":"1784-1798","source":"Crossref","is-referenced-by-count":139,"title":["Dynamic Selection Network for Image Inpainting"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2763-6741","authenticated-orcid":false,"given":"Ning","family":"Wang","sequence":"first","affiliation":[]},{"given":"Yipeng","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0542-2280","authenticated-orcid":false,"given":"Lefei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240625"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/520"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00027"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350903"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350912"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00427"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00895"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00158"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.815261"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2932062"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00530"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00183"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107173"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"ref24","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"12733","article-title":"Region normalization for image inpainting","author":"yu","year":"2020","journal-title":"Proc Assoc Adv Artif Intell (AAAI)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention MICCAI"},{"key":"ref50","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00753"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00308"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00280"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref55","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723009"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185597"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2880681"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1201775.882267"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00778"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.728"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00599"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.434"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00408"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00606"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.05.062"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01083"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/83.935036"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238360"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2007.903663"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344972"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531330"},{"key":"ref46","first-page":"2558","article-title":"Batch-instance normalization for adaptively style-invariant neural networks","author":"nam","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref45","first-page":"901","article-title":"Weight normalization: A simple reparameterization to accelerate training of deep neural networks","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107448"},{"key":"ref47","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref42","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"ulyanov","year":"2016","journal-title":"arXiv 1607 08022"},{"key":"ref41","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref43","article-title":"Layer normalization","author":"lei ba","year":"2016","journal-title":"arXiv 1607 06450"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09318551.pdf?arnumber=9318551","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:18Z","timestamp":1652194218000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9318551\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3048629","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}