{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:54:26Z","timestamp":1778169266829,"version":"3.51.4"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Science and Technology Innovation 2030 New Generation Artificial Intelligence Major","award":["2018AAA0100905"],"award-info":[{"award-number":["2018AAA0100905"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61806092"],"award-info":[{"award-number":["61806092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20180326"],"award-info":[{"award-number":["BK20180326"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["02021438008"],"award-info":[{"award-number":["02021438008"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Collaborative Innovation Center of Novel Software Technology and Industrialization"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tmm.2021.3086722","type":"journal-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T19:58:34Z","timestamp":1623700714000},"page":"2673-2686","source":"Crossref","is-referenced-by-count":13,"title":["CariMe: Unpaired Caricature Generation With Multiple Exaggerations"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9914-3922","authenticated-orcid":false,"given":"Zheng","family":"Gu","sequence":"first","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4569-1437","authenticated-orcid":false,"given":"Chuanqi","family":"Dong","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8504-455X","authenticated-orcid":false,"given":"Jing","family":"Huo","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenbin","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2488-1813","authenticated-orcid":false,"given":"Yang","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CW.2010.33"},{"key":"ref2","article-title":"Texture synthesis using convolutional neural networks,","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gatys","year":"2015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00824"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00986"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3182157"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01102"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322984"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2007.898933"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/PCCGA.2002.1167882"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073629"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00766"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2886007"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.032"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.08.011"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093543"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2228475"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2539825"},{"key":"ref18","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst., NeurIPS","author":"Jaderberg","year":"2015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00985"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.361"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00820"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_20"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01060"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2932573"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01489-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2921336"},{"key":"ref27","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations, ICLR","author":"Simonyan","year":"2015"},{"key":"ref28","first-page":"386","article-title":"Universal style transfer via feature transforms","volume-title":"Proc. Adv. Neural Inf. Process. Syst., NeurIPS","author":"Li","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref30","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst., NeurIPS","author":"Goodfellow","year":"2014"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2897897"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2920613"},{"key":"ref33","first-page":"700","article-title":"Unsupervised image-to-image translation networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst., NeurIPS","author":"Liu","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58574-7_15"},{"key":"ref39","first-page":"2994","article-title":"Multi-mapping image-to-image translation via learning disentanglement,","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Yu","year":"2019"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_11"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00355"},{"key":"ref42","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, ICLR","author":"Kim","year":"2019"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref44","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations, ICLR","author":"Kingma","year":"2015"},{"key":"ref45","first-page":"p. 223","article-title":"Webcaricature: A benchmark for caricature recognition","volume-title":"Proc. Br Mach. Vis. Conf., BMVC","author":"Huo","year":"2018"},{"key":"ref46","first-page":"6626","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Proc. Adv. Neural Inf. Process. Syst., NeurIPS","author":"Heusel","year":"2017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9687854\/09454341.pdf?arnumber=9454341","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:59:08Z","timestamp":1705013948000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9454341\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3086722","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}