{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:20:57Z","timestamp":1740169257209,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science (JSPS) KAKENHI","doi-asserted-by":"publisher","award":["JP17H01744"],"award-info":[{"award-number":["JP17H01744"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3069876","type":"journal-article","created":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T20:31:57Z","timestamp":1617136317000},"page":"64860-64870","source":"Crossref","is-referenced-by-count":4,"title":["Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4474-3995","authenticated-orcid":false,"given":"Ren","family":"Togo","sequence":"first","affiliation":[{"name":"Education and Research Center for Mathematical and Data Science, Hokkaido University, Sapporo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Megumi","family":"Kotera","sequence":"additional","affiliation":[{"name":"School of Engineering, Hokkaido University, Sapporo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5332-8112","authenticated-orcid":false,"given":"Takahiro","family":"Ogawa","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Hokkaido University, Sapporo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1496-1761","authenticated-orcid":false,"given":"Miki","family":"Haseyama","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Hokkaido University, Sapporo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Recurrent neural network regularization","author":"zaremba","year":"2014","journal-title":"arXiv 1409 2329"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref33","first-page":"7880","article-title":"ManiGAN: Text-guided image manipulation","author":"li","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref32","article-title":"Text as neural operator: Image manipulation by text instruction","author":"zhang","year":"2020","journal-title":"arXiv 2008 04556"},{"key":"ref31","first-page":"42","article-title":"Text-adaptive generative adversarial networks: Manipulating images with natural language","author":"nam","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.608"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","article-title":"Zero-shot text-to-image generation","author":"ramesh","year":"2021","journal-title":"arXiv 2102 12092"},{"key":"ref35","article-title":"Learning transferable visual models from natural language supervision","author":"radford","year":"2021","journal-title":"arXiv 2103 00020"},{"article-title":"The Caltech-UCSD birds-200-2011 dataset","year":"2011","author":"wah","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref40","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014","journal-title":"arXiv 1409 0473"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383296"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.833105"},{"key":"ref13","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2921336"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/508530.508545"},{"key":"ref16","first-page":"65","article-title":"Arty shapes","author":"song","year":"2008","journal-title":"Computational Aesthetics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2024676.2024696"},{"journal-title":"Inceptionism Going deeper into neural networks","year":"2015","author":"mordvintsev","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2347059"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925948"},{"key":"ref4","first-page":"386","article-title":"Universal style transfer via feature transforms","author":"li","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"journal-title":"Ostagram","year":"2016","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45886-1_3"},{"key":"ref6","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NeurIPS)"},{"key":"ref29","first-page":"1","article-title":"Bringing impressionism to life with neural style transfer in come swim","author":"joshi","year":"2017","journal-title":"Proc ACM SIGGRAPH Digit Prod Symp"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref8","article-title":"Automated deep photo style transfer","author":"penhou\u00ebt","year":"2019","journal-title":"arXiv 1901 03915"},{"key":"ref7","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2831899"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015780"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.272"},{"key":"ref45","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref22","first-page":"4","article-title":"Texture networks: Feed-forward synthesis of textures and stylized images","author":"ulyanov","year":"2016","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123425"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00143"},{"key":"ref24","first-page":"349","article-title":"Multi-style generative network for real-time transfer","author":"zhang","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref41","article-title":"How to construct deep recurrent neural networks","author":"pascanu","year":"2013","journal-title":"arXiv 1312 6026"},{"key":"ref23","first-page":"702","article-title":"Precomputed real-time texture synthesis with Markovian generative adversarial networks","author":"li","year":"2016","journal-title":"Proc IEEE Eur Conf Comput Vis (ECCV)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE46687.2019.9015508"},{"journal-title":"Prisma Turn memories into art using artificial intelligence","year":"2016","author":"labs","key":"ref26"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1177"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.36"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09389731.pdf?arnumber=9389731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:30:58Z","timestamp":1662669058000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9389731\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3069876","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}