{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:22:09Z","timestamp":1764588129423,"version":"3.37.3"},"reference-count":60,"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-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["IIS-1522125"],"award-info":[{"award-number":["IIS-1522125"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"Basic Science Research Program through the National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002701","name":"Ministry of Education","doi-asserted-by":"publisher","award":["NRF-2019R1A6A1A03032119"],"award-info":[{"award-number":["NRF-2019R1A6A1A03032119"]}],"id":[{"id":"10.13039\/501100002701","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.2020.3027800","type":"journal-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T20:24:51Z","timestamp":1601497491000},"page":"180977-180991","source":"Crossref","is-referenced-by-count":5,"title":["Generating Images in Compressed Domain Using Generative Adversarial Networks"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2537-7720","authenticated-orcid":false,"given":"Byeongkeun","family":"Kang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Subarna","family":"Tripathi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Truong Q.","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"ref38","article-title":"Correction by projection: Denoising images with generative adversarial networks","volume":"abs 1803 4477","author":"tripathi","year":"2018","journal-title":"CoRR"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70139-4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2895768"},{"key":"ref37","first-page":"331","article-title":"Image inpainting via generative multi-column convolutional neural networks","author":"wang","year":"2018","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.728"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_5"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00113"},{"key":"ref2","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume":"abs 1511 6434","author":"radford","year":"2015","journal-title":"CoRR"},{"key":"ref1","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27"},{"key":"ref20","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":"Advances in Neural IInformation Processing Systems"},{"key":"ref22","first-page":"1","article-title":"Variable rate image compression with recurrent neural networks","author":"toderici","year":"2016","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref21","first-page":"1","article-title":"Lossy image compression with compressive autoencoder","author":"theis","year":"2017","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/PCS.2018.8456298"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.577"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2858752"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-962"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1984.1096066"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1984.1096017"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/0047-259X(82)90077-X"},{"key":"ref58","first-page":"689","article-title":"Sur la distance de deux lois de probabilit&#x00E9;","volume":"244","author":"fr\u00e9chet","year":"1957","journal-title":"C R Acad Sci Paris"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref57"},{"key":"ref56","article-title":"LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"yu","year":"2015","journal-title":"arXiv 1506 03365"},{"key":"ref55","first-page":"1453","article-title":"Quantization of color image components in the DCT domain","volume":"13","author":"peterson","year":"1991","journal-title":"Proc SPIE Human Vis Vis Process Digital Display III"},{"key":"ref54","article-title":"Understanding straight-through estimator in training activation quantized neural nets","volume":"abs 1903 5662","author":"yin","year":"2019","journal-title":"CoRR"},{"key":"ref53","article-title":"Squantizer: Simultaneous learning for both sparse and low-precision neural networks","volume":"abs 1812 8301","author":"park","year":"2018","journal-title":"CoRR"},{"key":"ref52","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","volume":"abs 1308 3432","author":"bengio","year":"2013","journal-title":"CoRR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363576"},{"journal-title":"Encoding parameters of digital television for studios","year":"1982","key":"ref11"},{"key":"ref40","first-page":"1060","article-title":"Generative adversarial text to image synthesis","volume":"48","author":"reed","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn"},{"journal-title":"Information Technology&#x2014;Digital Compression and Coding of Continuous-Tone Still Images&#x2014;Requirements and Guidelines","year":"1992","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/30.125072"},{"journal-title":"JPEG Still Image Data Compression Standard","year":"1992","author":"pennebaker","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2017.38"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1974.223784"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JRPROC.1952.273898"},{"key":"ref18","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref19","first-page":"1371","article-title":"Two-timescale algorithms for learning Nash equilibria in general-sum stochastic games","author":"prasad","year":"0","journal-title":"Proc Int Joint Conf Auton Agents Multiagent Syst"},{"key":"ref4","first-page":"5767","article-title":"Improved training of Wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref3","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume":"70","author":"arjovsky","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00251"},{"key":"ref5","first-page":"613","article-title":"Generating videos with scene dynamics","author":"vondrick","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2018.00066"},{"journal-title":"Mathematical Analysis","year":"1974","author":"apostol","key":"ref49"},{"key":"ref9","first-page":"1144","article-title":"Video-to-video synthesis","author":"wang","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659"},{"key":"ref45","first-page":"469","article-title":"Coupled generative adversarial networks","author":"liu","year":"2016","journal-title":"Advances in Neural IInformation Processing Systems"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref48"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref47"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2856256"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.629"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2895280"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.517"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09210026.pdf?arnumber=9210026","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:55Z","timestamp":1639771015000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9210026\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3027800","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}