{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:45:45Z","timestamp":1769557545453,"version":"3.49.0"},"reference-count":38,"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 Project","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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62106100"],"award-info":[{"award-number":["62106100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62192783"],"award-info":[{"award-number":["62192783"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CAAI-Huawei MindSpore Open Fund"},{"name":"Collaborative Innovation Center of Novel Software Technology and Industrialization"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2022.3154238","type":"journal-article","created":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T20:25:04Z","timestamp":1651523104000},"page":"3347-3358","source":"Crossref","is-referenced-by-count":11,"title":["CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8504-455X","authenticated-orcid":false,"given":"Jing","family":"Huo","sequence":"first","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0210-9192","authenticated-orcid":false,"given":"Xiangde","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"}]},{"given":"Wenbin","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"}]},{"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, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9198-5401","authenticated-orcid":false,"given":"Hujun","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4516-9729","authenticated-orcid":false,"given":"Jiebo","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Rochester, Rochester, NY, USA"}]}],"member":"263","reference":[{"key":"ref1","first-page":"223","article-title":"Webcaricature: A benchmark for caricature recognition","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Huo"},{"key":"ref2","first-page":"386","article-title":"Universal style transfer via feature transforms","volume-title":"Proc. Adv. Neural Inform. Process.","author":"Li"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76386-4_29"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.11.006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-015-1177-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937657"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01102"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275046"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.08.011"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/259081.259231"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/966131.966133"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.032"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01029"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2678168"},{"key":"ref19","article-title":"Fast patch-based style transfer of arbitrary style","volume-title":"arXiv:1612.04337","author":"Qi Chen","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00860"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00604"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2936746"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2995062"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref25","first-page":"700","article-title":"Unsupervised image-to-image translation networks","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","author":"Liu"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref28","first-page":"1857","article-title":"Learning to discover cross-domain relations with generative adversarial networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Kim"},{"key":"ref29","first-page":"1","article-title":"Unsupervised cross-domain image generation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Taigman"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2969081"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2922854"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3021789"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01459"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322984"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00393"},{"key":"ref36","first-page":"1","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Karras"},{"key":"ref37","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 Inform. Process.","author":"Heusel"},{"key":"ref38","first-page":"2234","article-title":"Improved techniques for training GANs","volume-title":"Proc. Adv. Neural Inform. Process.","volume":"29","author":"Salimans"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09765839.pdf?arnumber=9765839","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T21:50:34Z","timestamp":1705960234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9765839\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/tip.2022.3154238","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}