{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T07:13:33Z","timestamp":1778224413134,"version":"3.51.4"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/fg52635.2021.9667004","type":"proceedings-article","created":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T05:34:23Z","timestamp":1643175263000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Progressive Text-to-Face Synthesis with Generative Adversarial Network"],"prefix":"10.1109","author":[{"given":"Xing","family":"Qiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanghong","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Progressive growing of gans for improved quality, stability, and variation","author":"karras","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref12","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM.2019.00-42"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.374"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICVGIP.2008.47"},{"key":"ref16","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref17","first-page":"1060","article-title":"Generative adversarial text to image synthesis","author":"reed","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref18","first-page":"217","article-title":"Learning what and where to draw","volume":"29","author":"reed","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"2234","article-title":"Improved techniques for training gans","volume":"29","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICB2018.2018.00035"},{"key":"ref4","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2856256"},{"key":"ref3","article-title":"Face2text: collecting an annotated image description corpus for the generation of rich face descriptions","author":"gatt","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref6","first-page":"87","article-title":"Ms-celeb-1m: A dataset and benchmark for large-scale face recognition","author":"guo","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref5","first-page":"799","article-title":"Bidirectional lstm networks for improved phoneme classification and recognition","author":"graves","year":"2005","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref8","first-page":"1125","article-title":"Image-to-image translation with conditional adversarial networks","author":"isola","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref7","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","volume":"30","author":"heusel","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3166\/ts.35.23-33"},{"key":"ref9","article-title":"Msg-gan: multi-scale gradient gan for stable image synthesis","author":"kamewar","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.29007\/3b2l"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.06.009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.bodyim.2018.08.013"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803828"},{"key":"ref23","article-title":"The caltech-ucsd birds-200-2011 dataset","author":"wah","year":"2011","journal-title":"Technical Report CNS-TR-2011-001 California Institute of Technology"},{"key":"ref26","first-page":"5907","article-title":"Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks","author":"zhang","year":"2017","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00143"}],"event":{"name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","location":"Jodhpur, India","start":{"date-parts":[[2021,12,15]]},"end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9666787\/9666788\/09667004.pdf?arnumber=9667004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:30Z","timestamp":1652201730000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9667004\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/fg52635.2021.9667004","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}