{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:40:07Z","timestamp":1781887207702,"version":"3.54.5"},"reference-count":56,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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","award":["61976060"],"award-info":[{"award-number":["61976060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871016"],"award-info":[{"award-number":["61871016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61922046"],"award-info":[{"award-number":["61922046"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Tianjin Natural Science Foundation","doi-asserted-by":"publisher","award":["17JCJQJC43700"],"award-info":[{"award-number":["17JCJQJC43700"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Tianjin Natural Science Foundation","doi-asserted-by":"publisher","award":["18ZXZNGX00110"],"award-info":[{"award-number":["18ZXZNGX00110"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tip.2020.2990606","type":"journal-article","created":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T20:05:21Z","timestamp":1588363521000},"page":"6288-6301","source":"Crossref","is-referenced-by-count":87,"title":["Conditional Variational Image Deraining"],"prefix":"10.1109","volume":"29","author":[{"given":"Yingjun","family":"Du","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiantong","family":"Zhen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming-Ming","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"835","article-title":"An uncertain future: Forecasting from static images using variational autoencoders","author":"walker","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref38","article-title":"Learning to learn kernels with variational random features","author":"sun","year":"2020"},{"key":"ref33","article-title":"Stochastic backpropagation and approximate inference in deep generative models","author":"jimenez rezende","year":"2014","journal-title":"arXiv 1401 4082"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2926357"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00406"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00263"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00678"},{"key":"ref36","first-page":"3483","article-title":"Learning structured output representation using deep conditional generative models","author":"sohn","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref34","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref28","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv 1411 1784"},{"key":"ref27","first-page":"1","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0200-2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.299"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2179057"},{"key":"ref22","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"arXiv 1312 6114"},{"key":"ref21","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_16"},{"key":"ref23","first-page":"6965","article-title":"A probabilistic u-net for segmentation of ambiguous images","author":"kohl","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.388"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.299"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2892685"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.276"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2920407"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00079"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.145"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2895793"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6737082"},{"key":"ref11","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref12","first-page":"1","article-title":"Variational image inpainting","author":"ham","year":"2018","journal-title":"Proc NeurIPS Workshop Bayesian Deep Learn"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"he","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","first-page":"1303","article-title":"Stochastic variational inference","volume":"14","author":"hoffman","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref18","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107143"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.247"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.191"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093393"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.307"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2691802"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00923"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_17"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"ref46","first-page":"20","article-title":"A trilateral weighted sparse coding scheme for real-world image denoising","author":"xu","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2811546"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.36"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.125"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00400"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00408"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2974060"},{"key":"ref43","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"xu","year":"2015","journal-title":"arXiv 1505 00853"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8835130\/09084254.pdf?arnumber=9084254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:39:01Z","timestamp":1651070341000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9084254\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.2990606","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}