{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:03Z","timestamp":1740100143627,"version":"3.37.3"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506059","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"3742-3746","source":"Crossref","is-referenced-by-count":0,"title":["Expressive And Compressive Gan Inversion Network"],"prefix":"10.1109","author":[{"given":"Youmin","family":"Xu","sequence":"first","affiliation":[{"name":"Peking University,School of Electronic and Computer Engineering,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peking University,School of Electronic and Computer Engineering,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00453"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00832"},{"key":"ref12","article-title":"Interfacegan: Interpreting the disentangled face representation learned by gans","author":"shen","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01429-5"},{"key":"ref14","article-title":"Indomain gan inversion for real image editing","author":"zhu","year":"2020","journal-title":"Proceedings of European Conference on Computer Vision (ECCV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01411"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00251"},{"key":"ref17","article-title":"Variational image compression with a scale hyperprior","author":"ball\u00e9","year":"2018","journal-title":"Proceedings of the International Conference on Learning Representations (ICLR)"},{"key":"ref18","article-title":"High-fidelity generative image compression","author":"mentzer","year":"2020","journal-title":"Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683541"},{"key":"ref4","article-title":"Swapping autoencoder for deep image manipulation","author":"park","year":"2020","journal-title":"Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00308"},{"key":"ref6","article-title":"Detecting bias with generative counterfactual face attribute augmentation","author":"denton","year":"2019","journal-title":"Workshop on Fairness Accountability Transparency and Ethics in Computer Vision at CVPR"},{"key":"ref5","first-page":"669","article-title":"Pathologygan: Learning deep representations of cancer tissue","volume":"124","author":"quiros","year":"2020","journal-title":"Machine Learning Research"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01310-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_11"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CANDARW.2019.00035"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref22","article-title":"LSUN: construction of a large-scale image dataset using deep learning with humans in the loop","volume":"abs 1506 3365","author":"yu","year":"2015","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2003.815173"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2021,9,19]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506059.pdf?arnumber=9506059","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T21:12:36Z","timestamp":1655154756000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506059\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506059","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}