{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T23:35:55Z","timestamp":1772580955238,"version":"3.50.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2898705","type":"journal-article","created":{"date-parts":[[2019,2,12]],"date-time":"2019-02-12T20:10:46Z","timestamp":1550002246000},"page":"23222-23231","source":"Crossref","is-referenced-by-count":19,"title":["Face Depth Estimation With Conditional Generative Adversarial Networks"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2889-8567","authenticated-orcid":false,"given":"Abdullah Taha","family":"Arslan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4860-7130","authenticated-orcid":false,"given":"Erol","family":"Seke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","author":"mathieu","year":"2015","journal-title":"Deep multi-scale video prediction beyond mean square error"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_36"},{"key":"ref33","author":"zhao","year":"2016","journal-title":"Energy-based Generative Adversarial Network"},{"key":"ref32","author":"berthelot","year":"2017","journal-title":"BEGAN Boundary Equilibrium Generative Adversarial Networks"},{"key":"ref31","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.202"},{"key":"ref37","first-page":"318","article-title":"Generative image modeling using style and structure adversarial networks","author":"wang","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref35","author":"reed","year":"2016","journal-title":"Generative adversarial text to image synthesis"},{"key":"ref34","author":"lucic","year":"2017","journal-title":"Are GANs created equal? A large-scale study"},{"key":"ref28","first-page":"5767","article-title":"Improved training of wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref27","author":"arjovsky","year":"2017","journal-title":"Wasserstein GAN"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref2","author":"horn","year":"1989","journal-title":"Obtaining shape from shading information"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2002.1004155"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.062"},{"key":"ref22","author":"zhang","year":"2018","journal-title":"Self-attention generative adversarial networks"},{"key":"ref21","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 Intervent"},{"key":"ref24","author":"karras","year":"2017","journal-title":"Progressive growing of GANs for improved quality stability and variation"},{"key":"ref23","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","author":"arjovsky","year":"2017","journal-title":"Towards Principled Methods for Training Generative Adversarial Networks"},{"key":"ref25","author":"jolicoeur-martineau","year":"2018","journal-title":"The relativistic discriminator A key element missing from standard GAN"},{"key":"ref50","article-title":"MeshLab: An open-source mesh processing tool","author":"cignoni","year":"2008","journal-title":"Proc Eurographics Italian Chapter"},{"key":"ref51","first-page":"932","article-title":"Shape and source from shading","author":"brooks","year":"1985","journal-title":"Proc 9th Int Joint Conf Artif Intell"},{"key":"ref10","author":"szeliski","year":"2010","journal-title":"Computer Vision Algorithms and Applications"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref40","first-page":"702","article-title":"Precomputed real-time texture synthesis with markovian generative adversarial networks","author":"li","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1486525.1486527"},{"key":"ref13","first-page":"644","article-title":"Model-based bundle adjustment with application to face modeling","volume":"2","author":"shan","year":"2001","journal-title":"Proc 8th IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014573219977"},{"key":"ref15","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","author":"radford","year":"2015","journal-title":"Unsupervised Representation learning with deep convolutional generative adversarial networks CoRR"},{"key":"ref17","author":"mirza","year":"2014","journal-title":"Conditional generative adversarial nets"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2808938"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1996.8.6.1321"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/34.784284"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.251"},{"key":"ref5","first-page":"99","article-title":"Statistical symmetric shape from shading for 3D structure recovery of faces","author":"dovgard","year":"2004","journal-title":"Vision Computer"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.63"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012369907247"},{"key":"ref49","year":"2018","journal-title":"How to Adjust Learning Rate"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311556"},{"key":"ref46","first-page":"2121","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"duchi","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref45","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref48","year":"2018","journal-title":"Exponential Decay"},{"key":"ref47","author":"zeiler","year":"2012","journal-title":"ADADELTA An Adaptive Learning Rate Method"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/SSIAI.2010.5483908"},{"key":"ref41","author":"metz","year":"2016","journal-title":"Unrolled generative adversarial networks"},{"key":"ref44","first-page":"483","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/978-3-540-89991-4_6","article-title":"Bosphorus database for 3D face analysis","author":"savran","year":"2008","journal-title":"Proc 1st Eur Workshop Biometrics Identity Manage"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08640025.pdf?arnumber=8640025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T05:22:51Z","timestamp":1643260971000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8640025\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2898705","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}