{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T19:42:05Z","timestamp":1779219725607,"version":"3.51.4"},"reference-count":140,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51874300"],"award-info":[{"award-number":["51874300"]}],"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":["51874299"],"award-info":[{"award-number":["51874299"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China and Shanxi Provincial People\u2019s Government Jointly Funded Project of China for Coal Base and Low Carbon","doi-asserted-by":"publisher","award":["U1510115"],"award-info":[{"award-number":["U1510115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Open Research Fund of Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["20190902"],"award-info":[{"award-number":["20190902"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Open Research Fund of Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["20190913"],"award-info":[{"award-number":["20190913"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2982224","type":"journal-article","created":{"date-parts":[[2020,3,20]],"date-time":"2020-03-20T19:55:33Z","timestamp":1584734133000},"page":"63514-63537","source":"Crossref","is-referenced-by-count":162,"title":["A State-of-the-Art Review on Image Synthesis With Generative Adversarial Networks"],"prefix":"10.1109","volume":"8","author":[{"given":"Lei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7663-278X","authenticated-orcid":false,"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjia","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangming","family":"Bi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1006-7594","authenticated-orcid":false,"given":"Fei Richard","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref38","first-page":"1","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"brock","year":"2019","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_43"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01244"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00882"},{"key":"ref30","first-page":"469","article-title":"Learning texture manifolds with the periodic spatial GAN","author":"bergmann","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref37","article-title":"Progressive face super-resolution via attention to facial landmark","author":"kim","year":"2019","journal-title":"arXiv 1908 08239"},{"key":"ref36","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"karras","year":"2017","journal-title":"arXiv 1710 10196"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2019.07.042"},{"key":"ref34","first-page":"1","article-title":"Texture synthesis with spatial generative adversarial networks","author":"jetchev","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/Allerton.2013.6736623"},{"key":"ref27","first-page":"2672","article-title":"Generative adversarial nets","volume":"2014","author":"goodfellow","year":"0","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00789"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00011"},{"key":"ref21","article-title":"CAN: Creative adversarial networks, generating &#x2018;Art&#x2019; by learning about styles and deviating from style norms","author":"elgammal","year":"2017","journal-title":"arXiv 1706 07068"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.463"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2930985"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref100","article-title":"Disentangling style and content in Anime illustrations","author":"xiang","year":"2019","journal-title":"arXiv 1905 10742"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351004"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.624"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_11"},{"key":"ref59","article-title":"MaskGAN: Towards diverse and interactive facial image manipulation","author":"lee","year":"2019","journal-title":"arXiv 1907 11922"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2019.8756542"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00159"},{"key":"ref56","article-title":"Spatially constrained generative adversarial networks for conditional image generation","author":"jiang","year":"2019","journal-title":"arXiv 1905 02320"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916751"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00379"},{"key":"ref52","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 (MICCAI)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00176"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00145"},{"key":"ref5","first-page":"1","article-title":"Relgan: Relational generative adversarial networks for text generation","author":"nie","year":"2019","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00867"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.728"},{"key":"ref7","article-title":"Harmonic unpaired Image-to-image translation","author":"zhang","year":"2019","journal-title":"arXiv 1902 09727"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_14"},{"key":"ref46","article-title":"EdgeConnect: Generative image inpainting with adversarial edge learning","author":"nazeri","year":"2019","journal-title":"arXiv 1901 00212"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.434"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00158"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref41","first-page":"1","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc European Conf Comp Vis Workshop"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00824"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00606"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00952"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00125"},{"key":"ref124","first-page":"2580","article-title":"Learning generative neural networks for 3D colorization","author":"yang","year":"2018","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref72","first-page":"469","article-title":"Coupled generative adversarial networks","author":"liu","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01065"},{"key":"ref71","first-page":"700","article-title":"Unsupervised image-to-image translation networks","author":"liu","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref128","first-page":"9605","article-title":"Learning to Pred-ict 3D objects with an interpolation-based differentiable Ren-Derer","author":"chen","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00820"},{"key":"ref130","article-title":"ZstGAN: An adversarial approach for unsupervised zero-shot Image-to-Image translation","author":"lin","year":"2019","journal-title":"arXiv 1906 00184"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00601"},{"key":"ref74","first-page":"35","article-title":"Diverse image-to-image translation via disentangled representations","author":"hsin-ying lee","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref75","article-title":"DRIT: Diverse Image-to-Image translation via disentangled representations","author":"lee","year":"2019","journal-title":"arXiv 1905 01270"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947606"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-52737-x"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101552"},{"key":"ref78","article-title":"Attribute guided unpaired image-to-image translation with semi-supervised learning","author":"li","year":"2019","journal-title":"arXiv 1904 12428"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.013"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00490"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.010"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357890"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_10"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2019.00085"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2950198"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00025"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019111"},{"key":"ref61","article-title":"Mask based unsupervised content transfer","author":"mokady","year":"2019","journal-title":"arXiv 1906 06558"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00378"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00245"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00461"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00246"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01241"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350980"},{"key":"ref68","first-page":"406","article-title":"Pose guided person image generation","author":"ma","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref2","first-page":"236","article-title":"Glow: Generative flow with invertible 1&#x00D7;1 convolutions","author":"kingma","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00018"},{"key":"ref1","first-page":"1","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2014","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref109","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":"ref95","article-title":"Twin-GAN - unpaired cross-domain image translation with weight-sharing GANs","author":"li","year":"2018","journal-title":"arXiv 1809 00946"},{"key":"ref108","first-page":"2226","article-title":"Improved techniques for training gans","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref94","article-title":"Towards the automatic Anime characters creation with generative adversarial networks","author":"jin","year":"2017","journal-title":"arXiv 1708 05509"},{"key":"ref107","article-title":"Generative teaching networks: Accelerating neural architecture search by learning to generate synthetic training data","author":"petroski such","year":"2019","journal-title":"arXiv 1912 07768"},{"key":"ref93","first-page":"1","article-title":"Unsupervised cross-domain image generation","author":"taigman","year":"2017","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00493"},{"key":"ref92","article-title":"Landmark assisted CycleGAN for cartoon face generation","author":"wu","year":"2019","journal-title":"arXiv 1907 01424"},{"key":"ref105","first-page":"4302","article-title":"Training language GANs from scrat-ch","author":"d\u2019autume","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref91","article-title":"U-GAT-IT: Unsupervised generative attentional networks with adaptive layer-instance normalization for Image-to-Image translation","author":"kim","year":"2019","journal-title":"arXiv 1907 10830"},{"key":"ref104","first-page":"1","article-title":"Spectral normalization for generative adversarial networks","author":"miyato","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref90","article-title":"Spatially controllable image synthesis with internal representation collaging","author":"suzuki","year":"2018","journal-title":"arXiv 1811 10153"},{"key":"ref103","first-page":"5767","article-title":"Improved training of wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref102","first-page":"214","article-title":"Wasserstein GAN","volume":"70","author":"arjovsky","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref111","first-page":"3444","article-title":"HYPE: A benchmark for human eYe perceptual evaluation of generati- ve models","author":"zhou","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref112","first-page":"12069","article-title":"A domain agnostic measure for monitoring and eva-luating GANs","author":"grnarova","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref110","first-page":"1","article-title":"GAN dissection: Visualizing and understanding generative adversarial networks","author":"bau","year":"2019","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_40"},{"key":"ref99","article-title":"CariGANs: Unpaired Photo-to-Caricature translation","author":"cao","year":"2018","journal-title":"arXiv 1811 00222"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00593"},{"key":"ref97","first-page":"1","article-title":"Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks","author":"hamada","year":"2018","journal-title":"Proc European Conf Comp Vis Workshop"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01087"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2785879"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-018-9377-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.11.020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.606"},{"key":"ref118","first-page":"9066","article-title":"Free-form video inpainting with 3D gated convolution and temporal patch GAN","author":"chang","year":"2019","journal-title":"Proc IEEE\/CVF Int Conf Comput Vis (ICCV)"},{"key":"ref16","article-title":"Semantic segmentation using adversarial networks","author":"luc","year":"2016","journal-title":"ArXiv 1611 08408"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00183"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/CRV.2019.00033"},{"key":"ref17","article-title":"Adversarial deep structural networks for mammographic mass segmentation","author":"zhu","year":"2016","journal-title":"arXiv 1612 05970"},{"key":"ref81","first-page":"1","article-title":"InstaGAN: Instance-aware image-to-image translation","author":"mo","year":"2018","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94544-6_9"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00355"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00603"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.045"},{"key":"ref83","article-title":"Fashion editing with adversarial parsing learning","author":"dong","year":"2019","journal-title":"arXiv 1906 00884"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_14"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_14"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33720-9_16"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00600"},{"key":"ref115","first-page":"1","article-title":"Video-to-video synthesis","author":"wang","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00955"},{"key":"ref89","article-title":"PI-REC: Progressive image reconstruction network with edge and color domain","author":"you","year":"2019","journal-title":"arXiv 1903 10146"},{"key":"ref121","first-page":"37","article-title":"End-to-end speech-driven realistic facial animation with temporal GANs","author":"vougioukas","year":"2019","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019299"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00802"},{"key":"ref85","article-title":"Face shape gene: A disentangled shape representation for flexible face image editing","author":"xu","year":"2019","journal-title":"arXiv 1905 01920"},{"key":"ref86","article-title":"Interpreting the latent space of GANs for semantic face editing","author":"shen","year":"2019","journal-title":"arXiv 1907 10786"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201393"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00986"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09043519.pdf?arnumber=9043519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:56:20Z","timestamp":1642002980000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9043519\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":140,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2982224","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}