{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T07:55:13Z","timestamp":1778745313218,"version":"3.51.4"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61701463"],"award-info":[{"award-number":["61701463"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2017M622277"],"award-info":[{"award-number":["2017M622277"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2017BF011"],"award-info":[{"award-number":["ZR2017BF011"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["201713019"],"award-info":[{"award-number":["201713019"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Qingdao Postdoctoral Science Foundation of China"},{"DOI":"10.13039\/100007065","name":"Nvidia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2849108","type":"journal-article","created":{"date-parts":[[2018,6,20]],"date-time":"2018-06-20T18:56:56Z","timestamp":1529521016000},"page":"33654-33665","source":"Crossref","is-referenced-by-count":8,"title":["Instance Map Based Image Synthesis With a Denoising Generative Adversarial Network"],"prefix":"10.1109","volume":"6","author":[{"given":"Ziqiang","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4372-1767","authenticated-orcid":false,"given":"Zhibin","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8027-0734","authenticated-orcid":false,"given":"Haiyong","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","author":"karacan","year":"2016","journal-title":"Learning to generate images of outdoor scenes from attributes and semantic layouts"},{"key":"ref38","author":"mathieu","year":"2015","journal-title":"Deep multi-scale video prediction beyond mean square error"},{"key":"ref33","author":"sangkloy","year":"2016","journal-title":"Scribbler Controlling deep image synthesis with sketch and color"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_20"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.463"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.723"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_36"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.728"},{"key":"ref35","author":"reed","year":"2016","journal-title":"Generative adversarial text to image synthesis"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref28","author":"bruna","year":"2015","journal-title":"Super-resolution with deep convolutional sufficient statistics"},{"key":"ref27","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.310"},{"key":"ref2","author":"zhao","year":"2016","journal-title":"Energy-based Generative Adversarial Network"},{"key":"ref1","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.243"},{"key":"ref21","first-page":"217","article-title":"Multi-view perceptron: A deep model for learning face identity and view representations","author":"zhu","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","author":"kim","year":"2017","journal-title":"Learning to discover cross-domain relations with generative adversarial networks"},{"key":"ref23","author":"kingma","year":"2013","journal-title":"Auto-encoding variational bayes"},{"key":"ref26","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"johnson","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref25","author":"gatys","year":"2015","journal-title":"A neural algorithm of artistic style"},{"key":"ref50","first-page":"380","article-title":"Active shape models with SIFT descriptors and MARS","author":"milborrow","year":"2014","journal-title":"Proc VISAPP"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.222"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995324"},{"key":"ref10","first-page":"4278","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Proc AAAI"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.741"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref15","first-page":"2172","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","author":"denton","year":"2016","journal-title":"Semi-supervised learning with context-conditional generative adversarial networks"},{"key":"ref17","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref18","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":"ref19","author":"zhang","year":"2018","journal-title":"Residual dense network for image super-resolution"},{"key":"ref4","author":"nguyen","year":"2016","journal-title":"Plug & Play Generative Networks Conditional Iterative Generation of Images in Latent Space"},{"key":"ref3","author":"radford","year":"2015","journal-title":"Unsupervised Representation learning with deep convolutional generative adversarial networks CoRR"},{"key":"ref6","author":"isola","year":"2016","journal-title":"Image-to-image translation with conditional adversarial networks"},{"key":"ref5","author":"mirza","year":"2014","journal-title":"Conditional generative adversarial nets"},{"key":"ref8","author":"press","year":"2017","journal-title":"Language generation with recurrent generative adversarial networks without pre-training"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref49","article-title":"Depth estimation by convolutional neural networks","author":"ivaneck\u00fd","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.168"},{"key":"ref46","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","author":"taigman","year":"2016","journal-title":"Unsupervised cross-domain image generation"},{"key":"ref48","first-page":"1","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref47","first-page":"364","article-title":"Spatial pattern templates for recognition of objects with regular structure","author":"tyle?ek","year":"2013","journal-title":"Proc German Conf Pattern Recognit"},{"key":"ref42","author":"arjovsky","year":"2017","journal-title":"Wasserstein GAN"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.608"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.467"},{"key":"ref43","author":"gulrajani","year":"2017","journal-title":"Improved training of wasserstein gans"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08389206.pdf?arnumber=8389206","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:14:45Z","timestamp":1642004085000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8389206\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2849108","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}