{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T07:17:03Z","timestamp":1778051823192,"version":"3.51.4"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Beijing Nova Program of Science and Technology","award":["Z191100001119077"],"award-info":[{"award-number":["Z191100001119077"]}]},{"name":"PKU-Baidu Fund","award":["2020BD020"],"award-info":[{"award-number":["2020BD020"]}]},{"name":"National Language Committee of China","award":["ZDI135-130"],"award-info":[{"award-number":["ZDI135-130"]}]},{"name":"Center For Chinese Font Design and Research"},{"name":"Key Laboratory of Science, Technology and Standard in Press Industry"},{"name":"State Key Laboratory of Media Convergence Production Technology and Systems"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,2,1]]},"DOI":"10.1109\/tpami.2022.3161985","type":"journal-article","created":{"date-parts":[[2022,3,24]],"date-time":"2022-03-24T21:50:04Z","timestamp":1648158604000},"page":"1514-1532","source":"Crossref","is-referenced-by-count":12,"title":["Controllable Image Synthesis With Attribute-Decomposed GAN"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7833-907X","authenticated-orcid":false,"given":"Guo","family":"Pu","sequence":"first","affiliation":[{"name":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2495-2869","authenticated-orcid":false,"given":"Yifang","family":"Men","sequence":"additional","affiliation":[{"name":"DAMO Academy, Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiming","family":"Mao","sequence":"additional","affiliation":[{"name":"AI-Lab, ByteDance Inc, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuning","family":"Jiang","sequence":"additional","affiliation":[{"name":"Ads Engineering Business Unit, Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Ying","family":"Ma","sequence":"additional","affiliation":[{"name":"Institute for AI Industry Research, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2683-7170","authenticated-orcid":false,"given":"Zhouhui","family":"Lian","sequence":"additional","affiliation":[{"name":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"262","article-title":"Texture synthesis using convolutional neural networks","author":"gatys","year":"2015","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref57","first-page":"613","article-title":"Generating videos with scene dynamics","author":"vondrick","year":"2016","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00923"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00165"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.715"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref58","article-title":"Video-to-video synthesis","author":"wang","year":"2018"},{"key":"ref53","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30671-7_3"},{"key":"ref11","article-title":"A learned representation for artistic style","author":"dumoulin","year":"2016"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00246"},{"key":"ref10","first-page":"1486","article-title":"Deep generative image models using a laplacian pyramid of adversarial networks","author":"denton","year":"2015","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00359"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00787"},{"key":"ref16","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref19","first-page":"6629","article-title":"GANEs trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916751"},{"key":"ref51","first-page":"234","article-title":"U-NET: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput Assist Interv"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_41"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref45","article-title":"Dropout-GAN: Learning from a dynamic ensemble of discriminators","author":"mordido","year":"2018"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00899"},{"key":"ref47","doi-asserted-by":"crossref","DOI":"10.1145\/3072959.3073711","article-title":"ClothCap: Seamless 4D clothing capture and retargeting","volume":"36","author":"pons-moll","year":"2017","journal-title":"ACM Trans Graph"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_47"},{"key":"ref41","article-title":"Deep multi-scale video prediction beyond mean square error","author":"mathieu","year":"2015"},{"key":"ref44","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00513"},{"key":"ref49","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00603"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref9","first-page":"2172","article-title":"Infogan: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00870"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1983.1095851"},{"key":"ref5","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"brock","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00018"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00245"},{"key":"ref35","first-page":"700","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.186"},{"key":"ref34","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00515"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.124"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00559"},{"key":"ref75","first-page":"597","article-title":"Generative visual manipulation on the natural image manifold","author":"zhu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.98"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01130"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.211"},{"key":"ref77","first-page":"465","article-title":"Toward multimodal image-to-image translation","author":"zhu","year":"2017","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref32","first-page":"35","article-title":"Diverse image-to-image translation via disentangled representations","author":"lee","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref2","article-title":"Wasserstein gan","author":"arjovsky","year":"2017"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322999"},{"key":"ref39","first-page":"406","article-title":"Pose guided person image generation","author":"ma","year":"2017","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01121"},{"key":"ref71","article-title":"Unsupervised pose flow learning for pose guided synthesis","author":"zheng","year":"2019"},{"key":"ref70","article-title":"Energy-based generative adversarial network","author":"zhao","year":"0"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1140-0"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00519"},{"key":"ref23","first-page":"172","article-title":"Multimodal unsupervised image-to-image translation","author":"huang","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.629"},{"key":"ref26","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"karras","year":"2017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351075"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00565"},{"key":"ref63","article-title":"Semi-latent GAN: Learning to generate and modify facial images from attributes","author":"yin","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.202"},{"key":"ref66","article-title":"Self-attention generative adversarial networks","author":"zhang","year":"2018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_26"},{"key":"ref28","article-title":"Learning to discover cross-domain relations with generative adversarial networks","author":"kim","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref29","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.310"},{"key":"ref61","article-title":"Detailed garment recovery from a single-view image","author":"yang","year":"2016"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10008914\/09741362.pdf?arnumber=9741362","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T19:44:19Z","timestamp":1675107859000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9741362\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,1]]},"references-count":80,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3161985","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,1]]}}}