{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T07:51:19Z","timestamp":1770537079424,"version":"3.49.0"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Guangdong International Technology Cooperation","award":["2022A0505050009"],"award-info":[{"award-number":["2022A0505050009"]}]},{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2020B010165004"],"award-info":[{"award-number":["2020B010165004"]}]},{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2020B010166003"],"award-info":[{"award-number":["2020B010166003"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972162"],"award-info":[{"award-number":["61972162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong International Science and Technology Cooperation","award":["2021A0505030009"],"award-info":[{"award-number":["2021A0505030009"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2021A1515012625"],"award-info":[{"award-number":["2021A1515012625"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Basic and Applied Research","award":["202102021074"],"award-info":[{"award-number":["202102021074"]}]},{"name":"CCF-Tencent Open Research fund","award":["CCF-Tencent RAGR20210114"],"award-info":[{"award-number":["CCF-Tencent RAGR20210114"]}]},{"name":"Research Grants Council of the Hong Kong Special Administrative Region","award":["UGC\/FDS11\/E02\/21"],"award-info":[{"award-number":["UGC\/FDS11\/E02\/21"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/tvcg.2022.3228707","type":"journal-article","created":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:27:23Z","timestamp":1670873243000},"page":"3104-3120","source":"Crossref","is-referenced-by-count":5,"title":["Appearance-Preserved Portrait-to-Anime Translation via Proxy-Guided Domain Adaptation"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2380-6715","authenticated-orcid":false,"given":"Wenpeng","family":"Xiao","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4281-6214","authenticated-orcid":false,"given":"Cheng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiajie","family":"Mai","sequence":"additional","affiliation":[{"name":"King&#x0027;s College London, London, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8006-3663","authenticated-orcid":false,"given":"Xuemiao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1519-750X","authenticated-orcid":false,"given":"Chengze","family":"Li","sequence":"additional","affiliation":[{"name":"Caritas Institute of Higher Education, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0868-5353","authenticated-orcid":false,"given":"Xueting","family":"Liu","sequence":"additional","affiliation":[{"name":"Caritas Institute of Higher Education, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3802-4644","authenticated-orcid":false,"given":"Shengfeng","family":"He","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Singapore Management University, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref2","first-page":"700","article-title":"Unsupervised image-to-image translation networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref3","article-title":"U-GAT-IT: Unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kim"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2628581"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3113786"},{"key":"ref6","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Karras"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01318"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3174656"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3146000"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3145749.3149430"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3067201"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3554739"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01065"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2168814"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2669024.2669028"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3113786"},{"key":"ref26","article-title":"Landmark assisted cycleGAN for cartoon face generation","author":"Wu","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275046"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3114308"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3126659"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16364"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref32","article-title":"Training generative adversarial networks with limited data","author":"Karras","year":"2020"},{"key":"ref33","article-title":"Resolution dependent GAN interpolation for controllable image synthesis between domains","author":"Pinkney","year":"2020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3065230"},{"key":"ref35","article-title":"Fine-tuning stylegan2 for cartoon face generation","author":"Back","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459771"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459860"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19787-1_8"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01155"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_46"},{"key":"ref41","first-page":"11 920","article-title":"Mosaicking to distill: Knowledge distillation from out-of-domain data","volume":"34","author":"Fang","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.361"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref45","first-page":"1755","article-title":"Dlib-ml: A machine learning toolkit","volume":"10","author":"King","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref47","article-title":"Danbooru2020: A large-scale crowdsourced and tagged anime illustration dataset","year":"2021"},{"key":"ref48","article-title":"lbpcascade_animeface","year":"2014"},{"key":"ref49","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref50","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref51","first-page":"6629","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Heusel"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref53","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0255-3"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/10576039\/09982378.pdf?arnumber=9982378","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T19:06:30Z","timestamp":1725995190000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9982378\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":54,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2022.3228707","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}