{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:20:42Z","timestamp":1740133242392,"version":"3.37.3"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"German Research Foundation (DFG) in the project of Cross-Modal Learning","award":["NSFC 62061136001","DFG TRR-169","NSFC 61876095"],"award-info":[{"award-number":["NSFC 62061136001","DFG TRR-169","NSFC 61876095"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2021.3051767","type":"journal-article","created":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T21:00:33Z","timestamp":1611262833000},"page":"2669-2681","source":"Crossref","is-referenced-by-count":4,"title":["Deep Likelihood Network for Image Restoration With Multiple Degradation Levels"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0709-4877","authenticated-orcid":false,"given":"Yiwen","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3330-783X","authenticated-orcid":false,"given":"Wangmeng","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changshui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9333-1746","authenticated-orcid":false,"given":"Yurong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref38","first-page":"1","article-title":"Image super-resolution as sparse representation of raw image patches","author":"yang","year":"2008","journal-title":"Proc CVPR"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.566"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299149"},{"key":"ref31","first-page":"901","article-title":"Shepard convolutional neural networks","author":"ren","year":"2015","journal-title":"Proc NIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.241"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383001"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315043"},{"key":"ref34","first-page":"9446","article-title":"Deep image prior","author":"ulyanov","year":"2018","journal-title":"Proc CVPR"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.50"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.304"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"ref63","first-page":"1","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc ICML"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.728"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.624"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref1","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"Proc ECCV"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344972"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00338"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882267"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.815261"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531330"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.141"},{"key":"ref50","article-title":"Physics-based generative adversarial models for image restoration and beyond","author":"pan","year":"2018","journal-title":"arXiv 1808 00605"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref57","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"Proc OSDI"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref55","article-title":"On the learning dynamics of deep neural networks","author":"tachet","year":"2018","journal-title":"arXiv 1809 06848"},{"key":"ref54","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.349"},{"key":"ref52","first-page":"9562","article-title":"Differentiable convex optimization layers","author":"agrawal","year":"2019","journal-title":"Proc NIPS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00344"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2108306"},{"key":"ref12","first-page":"2078","article-title":"Self-paced learning with diversity","author":"jiang","year":"2014","journal-title":"Proc NIPS"},{"key":"ref13","first-page":"85","article-title":"Image inpainting for irregular holes using partial convolutions","author":"liu","year":"2018","journal-title":"Proc ECCV"},{"key":"ref14","article-title":"EdgeConnect: Generative image inpainting with adversarial edge learning","author":"nazeri","year":"2019","journal-title":"arXiv 1901 00212"},{"key":"ref15","first-page":"7482","article-title":"Multi-task learning using uncertainty to weigh losses for scene geometry and semantics","author":"kendall","year":"2018","journal-title":"Proc CVPR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0748-y"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref19","first-page":"711","article-title":"On single image scale-up using sparse-representations","author":"zeyde","year":"2010","journal-title":"Proc Int Conf Curves Surf"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.434"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11752-2_43"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref49","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc NIPS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.124"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026501619075"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00082"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539933"},{"key":"ref47","first-page":"1587","article-title":"A sampled texture prior for image super-resolution","author":"pickup","year":"2004","journal-title":"Proc NIPS"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.212"},{"key":"ref41","first-page":"1114","article-title":"Multi-scale dictionary for single image super-resolution","author":"zhang","year":"2012","journal-title":"Proc CVPR"},{"key":"ref44","first-page":"1","article-title":"Amortised map inference for image super-resolution","author":"s\u00f8nderby","year":"2017","journal-title":"Proc ICLR"},{"key":"ref43","first-page":"2810","article-title":"Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections","author":"mao","year":"2016","journal-title":"Proc NIPS"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09332272.pdf?arnumber=9332272","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:06Z","timestamp":1652194206000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9332272\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3051767","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2021]]}}}