{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T07:11:20Z","timestamp":1769584280658,"version":"3.49.0"},"reference-count":86,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2072"],"award-info":[{"award-number":["U20B2072"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61976137"],"award-info":[{"award-number":["61976137"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Jiaotong University Medical Engineering Cross Research","award":["YG2021ZD18"],"award-info":[{"award-number":["YG2021ZD18"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1109\/tcsvt.2022.3222456","type":"journal-article","created":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T20:44:32Z","timestamp":1668631472000},"page":"2147-2161","source":"Crossref","is-referenced-by-count":22,"title":["HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0674-9296","authenticated-orcid":false,"given":"Peng","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4831-9451","authenticated-orcid":false,"given":"Lingxi","family":"Xie","sequence":"additional","affiliation":[{"name":"Huawei Cloud BU, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7339-028X","authenticated-orcid":false,"given":"Bingbing","family":"Ni","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8406-085X","authenticated-orcid":false,"given":"Lin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7252-5047","authenticated-orcid":false,"given":"Qi","family":"Tian","sequence":"additional","affiliation":[{"name":"Huawei Cloud BU, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01110"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01267"},{"key":"ref12","first-page":"597","article-title":"Generative visual manipulation on the natural image manifold","author":"zhu","year":"2018","journal-title":"Proc ECCV"},{"key":"ref56","first-page":"1","article-title":"GANSpace: Discovering interpretable GAN controls","author":"h\u00e4rk\u00f6nen","year":"2020","journal-title":"Proc NeurIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_16"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00251"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00367"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_2"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_21"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00453"},{"key":"ref55","first-page":"1","article-title":"On the &#x2018;steerability&#x2019; of generative adversarial networks","author":"jahanian","year":"2020","journal-title":"Proc ICLR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3138795"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_11"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00308"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01402"},{"key":"ref19","first-page":"1","article-title":"Texture synthesis using convolutional neural networks","author":"gatys","year":"2015","journal-title":"Proc NeurIPS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01454"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00581"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00232"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00441"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01109"},{"key":"ref47","article-title":"Unsupervised discovery of disentangled manifolds in GANs","author":"lu","year":"2020","journal-title":"arXiv 2011 11842"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_35"},{"key":"ref86","article-title":"CIPS-3D: A 3D-aware generator of GANs based on conditionally-independent pixel synthesis","author":"zhou","year":"2021","journal-title":"arXiv 2110 09788"},{"key":"ref41","first-page":"7198","article-title":"Swapping autoencoder for deep image manipulation","author":"park","year":"2020","journal-title":"Proc NeurIPS"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00926"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00664"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00570"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3178723"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3089724"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2643504"},{"key":"ref4","first-page":"1","article-title":"Training generative adversarial networks with limited data","author":"karras","year":"2020","journal-title":"Proc NeurIPS"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3111648"},{"key":"ref5","first-page":"1","article-title":"Alias-free generative adversarial networks","author":"karras","year":"2021","journal-title":"Proc NeurIPS"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref81","author":"branwen","year":"2019","journal-title":"Danbooru2019 portraits A large-scale anime head illustration dataset"},{"key":"ref40","article-title":"GAN inversion: A survey","author":"xia","year":"2021","journal-title":"arXiv 2101 05278"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00538"},{"key":"ref83","first-page":"1","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc ECCV"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/3126686.3126736"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref79","first-page":"1","article-title":"WebCaricature: A benchmark for caricature recognition","author":"huo","year":"2018","journal-title":"Proc Brit Machine Vis Conf"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3097713"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2897984"},{"key":"ref31","first-page":"29710","article-title":"BlendGAN: Implicitly GAN blending for arbitrary stylized face generation","author":"liu","year":"2021","journal-title":"Proc NeurIPS"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00158"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01429-5"},{"key":"ref74","article-title":"Training data-efficient image transformers & distillation through attention","author":"touvron","year":"2020","journal-title":"arXiv 2012 12877"},{"key":"ref33","first-page":"1","article-title":"Generating images with perceptual similarity metrics based on deep networks","author":"dosovitskiy","year":"2016","journal-title":"Proc NeurIPS"},{"key":"ref77","first-page":"1","article-title":"Progressive growing of GANs for improved quality, stability, and variation","author":"karras","year":"2018","journal-title":"Proc ICLR"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00349"},{"key":"ref76","article-title":"FaceShifter: Towards high fidelity and occlusion aware face swapping","author":"li","year":"2019","journal-title":"arXiv 1912 13457"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref1","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc NeurIPS"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3177238"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3001267"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00609"},{"key":"ref73","article-title":"PyTorch image models","author":"wightman","year":"2019","journal-title":"Github Repository"},{"key":"ref72","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref24","first-page":"1","article-title":"Learning to predict layout-to-image conditional convolutions for semantic image synthesis","author":"liu","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00025"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref67","article-title":"Unsupervised image-to-image translation via pre-trained StyleGAN2 network","author":"huang","year":"2020","journal-title":"arXiv 2010 05713"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00832"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref20","article-title":"A neural algorithm of artistic style","author":"gatys","year":"2015","journal-title":"arXiv 1508 06576"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"ref22","article-title":"Super-resolution with deep convolutional sufficient statistics","author":"bruna","year":"2015","journal-title":"arXiv 1511 05666"},{"key":"ref66","article-title":"Fix the noise: Disentangling source feature for transfer learning of StyleGAN","author":"lee","year":"2022","journal-title":"arXiv 2204 14079"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00754"},{"key":"ref28","article-title":"Resolution dependent GAN interpolation for controllable image synthesis between domains","author":"pinkney","year":"2020","journal-title":"arXiv 2010 05334"},{"key":"ref27","first-page":"1","article-title":"Feature-based metrics for exploring the latent space of generative models","author":"laine","year":"2018","journal-title":"Proc ICLRW"},{"key":"ref29","first-page":"1","article-title":"GAN Dissection: Visualizing and understanding generative adversarial networks","author":"bau","year":"2019","journal-title":"Proc ICLR"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10116045\/09953153.pdf?arnumber=9953153","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T17:46:08Z","timestamp":1685382368000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9953153\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5]]},"references-count":86,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2022.3222456","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5]]}}}