{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T03:10:30Z","timestamp":1777605030278,"version":"3.51.4"},"reference-count":41,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"Korean Government (MSIT) through the National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2018R1A2B3003896"],"award-info":[{"award-number":["NRF-2018R1A2B3003896"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"Korean Government (MSIT) through the National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2021R1A4A1031864"],"award-info":[{"award-number":["NRF-2021R1A4A1031864"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3138442","type":"journal-article","created":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T20:29:11Z","timestamp":1640377751000},"page":"169321-169334","source":"Crossref","is-referenced-by-count":4,"title":["Gluing Reference Patches Together for Face Super-Resolution"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2245-4516","authenticated-orcid":false,"given":"Ji-Soo","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0203-4530","authenticated-orcid":false,"given":"Keunsoo","family":"Ko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4276-1831","authenticated-orcid":false,"given":"Chang-Su","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.180"},{"key":"ref38","first-page":"1","article-title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments","author":"huang","year":"2008","journal-title":"Proc Workshop Faces &#x2018;Real-Life&#x2019;Images Detection Alignment Recognit"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934078"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00583"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00817"},{"key":"ref37","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref36","first-page":"1","article-title":"Progressive face super-resolution via attention to facial landmark","author":"kim","year":"2019","journal-title":"Proc BMVC"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190936"},{"key":"ref40","first-page":"i","article-title":"No-reference perceptual quality assessment of JPEG compressed images","author":"wang","year":"2002","journal-title":"Proc Int Conf Image Process"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3069291"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00278"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2000.840616"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2007.4401949"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299121"},{"key":"ref4","article-title":"Old photo restoration via deep latent space translation","author":"wan","year":"2020","journal-title":"arXiv 2009 07047"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_44"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2469286"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00561"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-009-0417-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00101"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2011.6027342"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref1","article-title":"Naive-deep face recognition: Touching the limit of LFW benchmark or not?","author":"zhou","year":"2015","journal-title":"arXiv 1501 04690"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_37"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00264"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_20"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6935"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref23","first-page":"2809","article-title":"Face hallucination by attentive sequence optimization with reinforcement learning","volume":"42","author":"shi","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6962"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_6"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09663204.pdf?arnumber=9663204","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T20:54:01Z","timestamp":1649105641000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9663204\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3138442","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}