{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T15:55:38Z","timestamp":1774626938278,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018AAA0103202"],"award-info":[{"award-number":["2018AAA0103202"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22A2096"],"award-info":[{"award-number":["U22A2096"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["ZYTS23179"],"award-info":[{"award-number":["ZYTS23179"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62106184"],"award-info":[{"award-number":["62106184"]}],"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":["62036007"],"award-info":[{"award-number":["62036007"]}],"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":["62176198"],"award-info":[{"award-number":["62176198"]}],"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":["62206211"],"award-info":[{"award-number":["62206211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Technology Innovation Leading Program of Shaanxi","award":["2022QFY01-15"],"award-info":[{"award-number":["2022QFY01-15"]}]},{"name":"Open Research Projects of Zhejiang Laboratory","award":["2021KG0AB01"],"award-info":[{"award-number":["2021KG0AB01"]}]},{"DOI":"10.13039\/501100017596","name":"Natural Science Basic Research Plan in Shaanxi Province of China","doi-asserted-by":"publisher","award":["2021JQ-198"],"award-info":[{"award-number":["2021JQ-198"]}],"id":[{"id":"10.13039\/501100017596","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1109\/tcsvt.2023.3253773","type":"journal-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T18:47:53Z","timestamp":1678128473000},"page":"5200-5211","source":"Crossref","is-referenced-by-count":26,"title":["Dual Conditional Normalization Pyramid Network for Face Photo-Sketch Synthesis"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4179-7701","authenticated-orcid":false,"given":"Mingrui","family":"Zhu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"}]},{"given":"Zicheng","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4695-6134","authenticated-orcid":false,"given":"Nannan","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"}]},{"given":"Heng","family":"Yang","sequence":"additional","affiliation":[{"name":"Shenzhen AiMall Tech., Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7985-0037","authenticated-orcid":false,"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.222"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2198090"},{"key":"ref56","first-page":"1","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume":"30","author":"heusel","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2511482"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1109\/TCSVT.2008.918770","article-title":"Face sketch synthesis algorithm based on E-HMM and selective ensemble","volume":"18","author":"gao","year":"2008","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref52","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size","author":"iandola","year":"2016","journal-title":"arXiv 1602 07360"},{"key":"ref11","first-page":"1","article-title":"Efficient sparse coding algorithms","volume":"19","author":"lee","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2109730"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.526"},{"key":"ref54","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref17","first-page":"1091","article-title":"Markov weight fields for face sketch synthesis","author":"zhou","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_51"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.11.008"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651375"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/34.879790"},{"key":"ref46","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref45","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref48","article-title":"The AR face database","author":"martinez","year":"1998"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995324"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3153390"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"ref49","first-page":"965","article-title":"XM2VTSDB: The extended M2VTS database","volume":"964","author":"messer","year":"1999","journal-title":"Int Conf Audio and Video based Biometric Person Authentication"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2323"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238414"},{"key":"ref9","first-page":"1005","article-title":"A nonlinear approach for face sketch synthesis and recognition","author":"liu","year":"2005","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit (CVPR05)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2883743"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413960"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00360"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3422622","article-title":"Generative adversarial networks","volume":"63","author":"goodfellow","year":"2020","journal-title":"Commun ACM"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3077058"},{"key":"ref35","first-page":"1","article-title":"Weight normalization: A simple reparameterization to accelerate training of deep neural networks","volume":"29","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref36","article-title":"A learned representation for artistic style","author":"dumoulin","year":"2016","journal-title":"arXiv 1610 07629"},{"key":"ref31","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.077"},{"key":"ref33","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"ulyanov","year":"2016","journal-title":"arXiv 1607 08022"},{"key":"ref32","article-title":"Layer normalization","author":"ba","year":"2016","journal-title":"arXiv 1607 06450"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2967754"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.53"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6805"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2671188.2749321"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3007669.3007679"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01442-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2011.6115625"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21602-2_60"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2972944"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00022"},{"key":"ref29","first-page":"216","article-title":"Semi-supervised learning for face sketch synthesis in the wild","author":"chen","year":"2018","journal-title":"Proc Asian Conf Comput Vis"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10241245\/10061434.pdf?arnumber=10061434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:43:55Z","timestamp":1695667435000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10061434\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":57,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2023.3253773","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9]]}}}