{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:18:15Z","timestamp":1782317895790,"version":"3.54.5"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"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":["U22A2095"],"award-info":[{"award-number":["U22A2095"]}],"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":["62072482"],"award-info":[{"award-number":["62072482"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1109\/tvcg.2023.3286394","type":"journal-article","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T17:21:52Z","timestamp":1686849712000},"page":"5111-5128","source":"Crossref","is-referenced-by-count":7,"title":["Pose Guided Person Image Generation Via Dual-Task Correlation and Affinity Learning"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3736-5295","authenticated-orcid":false,"given":"Pengze","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8642-9614","authenticated-orcid":false,"given":"Lingxiao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-4679","authenticated-orcid":false,"given":"Xiaohua","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3883-2024","authenticated-orcid":false,"given":"Jianhuang","family":"Lai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2478779"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2766986"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.67"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01665"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2959575"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.2996594"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3067201"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3156949"},{"key":"ref10","first-page":"1","article-title":"Auto-encoding variational bayes","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2022.3166666"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3051251"},{"key":"ref13","first-page":"405","article-title":"Pose guided person image generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ma"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00923"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00245"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_43"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00381"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00771"},{"key":"ref19","first-page":"1","article-title":"Guided flow field estimation by generating independent patches","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Tabejamaat"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00789"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01066"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref23","article-title":"An overview of multi-task learning in deep neural networks","author":"Ruder","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00523"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.124"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.487"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2008.4813399"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00756"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01241"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00513"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3478513.3480559"},{"key":"ref36","article-title":"Style and pose control for image synthesis of humans from a single monocular view","author":"Sarkar","year":"2021"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/2945.765324"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601209"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2601093"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/131"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00788"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_10"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_6"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00714"},{"key":"ref45","first-page":"820","article-title":"Dual learning for machine translation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11999"},{"key":"ref47","first-page":"1","article-title":"Multi-agent dual learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00231"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref51","article-title":"Training data-efficient image transformers & distillation through attention","author":"Touvron","year":"2020"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref53","first-page":"1","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhu"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3114683"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00208"},{"key":"ref56","article-title":"TransGAN: Two transformers can make one strong GAN","author":"Jiang","year":"2021"},{"key":"ref57","first-page":"4487","article-title":"Generative adversarial transformers","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hudson"},{"key":"ref58","first-page":"1","article-title":"ViTPose: Simple vision transformer baselines for human pose estimation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01079"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00199"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01270"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01145"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3141231"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.437"},{"key":"ref65","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref67","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00359"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref70","first-page":"6629","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"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613460"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.05957"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.299"},{"key":"ref74","first-page":"1620","article-title":"Positional normalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/10579898\/10153661.pdf?arnumber=10153661","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T17:29:02Z","timestamp":1720027742000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10153661\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":74,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2023.3286394","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}