{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T19:32:18Z","timestamp":1762543938122,"version":"3.37.3"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["61972112","61832004"],"award-info":[{"award-number":["61972112","61832004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2021B1515020088"],"award-info":[{"award-number":["2021B1515020088"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tmm.2023.3338050","type":"journal-article","created":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T19:14:49Z","timestamp":1701371689000},"page":"5615-5629","source":"Crossref","is-referenced-by-count":5,"title":["Learning to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9561-5398","authenticated-orcid":false,"given":"Han","family":"Yan","sequence":"first","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1648-0227","authenticated-orcid":false,"given":"Haijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5703-7969","authenticated-orcid":false,"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Hefei University of Technology, Hefei, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3130191"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00913"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00882"},{"key":"ref5","first-page":"262","article-title":"Texture synthesis using convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gatys","year":"2015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3414015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530736"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3146010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01267"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459771"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01109"},{"key":"ref15","first-page":"9841","article-title":"GANspace: Discovering interpretable GAN controls","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hrknen","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00559"},{"article-title":"LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop","year":"2015","author":"Yu","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00453"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00832"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00308"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.397"},{"key":"ref23","first-page":"386","article-title":"Universal style transfer via feature transforms","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01089"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref26","first-page":"465","article-title":"Toward multimodal image-to-image translation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhu","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref29","first-page":"700","article-title":"Unsupervised image-to-image translation networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu","year":"2017"},{"key":"ref30","first-page":"27196","article-title":"UFC-BERT: Unifying multi-modal controls for conditional image synthesis","volume-title":"Adv. Neural Inf. Process. Syst.","volume":"34","author":"Zhang","year":"2021"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.186"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13552"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00785"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00197"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.061"},{"key":"ref38","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.","author":"Heusel","year":"2017"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.06.001"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10384483\/10336524.pdf?arnumber=10336524","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T21:03:44Z","timestamp":1711487024000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10336524\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/tmm.2023.3338050","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"type":"print","value":"1520-9210"},{"type":"electronic","value":"1941-0077"}],"subject":[],"published":{"date-parts":[[2024]]}}}