{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T17:32:04Z","timestamp":1770917524223,"version":"3.50.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information and communications Technology Promotion","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean Government","award":["2016-0-00562"],"award-info":[{"award-number":["2016-0-00562"]}]},{"name":"Korean Government","award":["R0124-16-0002"],"award-info":[{"award-number":["R0124-16-0002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1109\/tmm.2019.2929000","type":"journal-article","created":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T20:22:31Z","timestamp":1563913351000},"page":"298-310","source":"Crossref","is-referenced-by-count":39,"title":["Style-Controlled Synthesis of Clothing Segments for Fashion Image Manipulation"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0224-7985","authenticated-orcid":false,"given":"Bo-Kyeong","family":"Kim","sequence":"first","affiliation":[]},{"given":"Geonmin","family":"Kim","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0776-5084","authenticated-orcid":false,"given":"Soo-Young","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"0","journal-title":"Proc Int Machine Learning Workshop"},{"key":"ref38","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc Med Image Comput Comput -Assisted Intervention Conf"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref31","first-page":"628","article-title":"3D-R2N2: A unified approach for single and multi-view 3D object reconstruction","author":"choy","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298807"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref36","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref35","first-page":"658","article-title":"Generating images with perceptual similarity metrics based on deep networks","author":"dosovitskiy","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref34","article-title":"Progressive growing of gans for improved quality, stability, and variation","author":"karras","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.98"},{"key":"ref27","first-page":"702","article-title":"Precomputed real-time texture synthesis with Markovian generative adversarial networks","author":"li","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.126"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2280560"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299169"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.127"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.124"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2696825"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.652"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/520"},{"key":"ref25","first-page":"517","article-title":"Pixel-level domain transfer","author":"yoo","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref50","first-page":"406","article-title":"Pose guided person image generation","author":"ma","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref51","first-page":"386","article-title":"Universal style transfer via feature transforms","author":"li","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref10","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref11","first-page":"2539","article-title":"Deep convolutional inverse graphics network","author":"kulkarni","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref40","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref12","first-page":"1060","article-title":"Generative adversarial text to image synthesis","author":"reed","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref13","first-page":"318","article-title":"Generative image modeling using style and structure adversarial networks","author":"wang","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.168"},{"key":"ref16","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref17","first-page":"262","article-title":"Texture synthesis using convolutional neural networks","author":"gatys","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref18","first-page":"597","article-title":"Generative visual manipulation on the natural image manifold","author":"zhu","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.723"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.67"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2639380"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.186"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.15221\/14.406"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00787"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.269"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref9","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/83.902291"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.715"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref47","first-page":"2234","article-title":"Improved techniques for training gans","author":"salimans","year":"0","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.407"},{"key":"ref41","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248101"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2285526"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/8968789\/08770290.pdf?arnumber=8770290","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T10:27:07Z","timestamp":1643279227000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8770290\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2]]},"references-count":51,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmm.2019.2929000","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2]]}}}