{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T06:21:39Z","timestamp":1780726899397,"version":"3.54.1"},"reference-count":214,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Guangdong special branch plans young talent with scientific and technological innovation)","award":["2016TQ03X445"],"award-info":[{"award-number":["2016TQ03X445"]}]},{"name":"Guangzhou science and technology planning project","award":["201904010197"],"award-info":[{"award-number":["201904010197"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2016A030313437"],"award-info":[{"award-number":["2016A030313437"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021,10,1]]},"DOI":"10.1109\/tpami.2020.2982166","type":"journal-article","created":{"date-parts":[[2020,3,23]],"date-time":"2020-03-23T19:44:36Z","timestamp":1584992676000},"page":"3365-3387","source":"Crossref","is-referenced-by-count":1481,"title":["Deep Learning for Image Super-Resolution: A Survey"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7610-3837","authenticated-orcid":false,"given":"Zhihao","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4769-1526","authenticated-orcid":false,"given":"Jian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4584-3453","authenticated-orcid":false,"given":"Steven C. H.","family":"Hoi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_37"},{"key":"ref172","first-page":"4327","article-title":"Face hallucination with tiny unaligned images by transformative discriminative neural networks","author":"yu","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_14"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.570"},{"key":"ref173","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc NIPS"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1044-4"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/633"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00115"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_20"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_17"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2001394"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00344"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.09.011"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2003.1203207"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00131"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_25"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2006.02.026"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-010-0204-6"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-014-0623-4"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2197589"},{"key":"ref180","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00266"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.3390\/rs8070594"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.35"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.405"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00182"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00388"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00175"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01193"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_16"},{"key":"ref27","first-page":"5835","article-title":"Deep laplacian pyramid networks for fast and accurate superresolution","author":"lai","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00101"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587647"},{"key":"ref22","first-page":"184","article-title":"Learning a deep convolutional network for image super-resolution","author":"dong","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref24","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.304"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00179"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00123"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref151","article-title":"Progressive growing of gans for improved quality, stability, and variation","author":"karras","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref146","article-title":"Amortised map inference for image super-resolution","author":"s\u00f8nderby","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00125"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00132"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2002.5745362"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00179"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00025"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_22"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54190-7_22"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_9"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_23"},{"key":"ref162","first-page":"5079","article-title":"V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map","author":"moon","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995316"},{"key":"ref160","first-page":"9446","article-title":"Deep image prior","author":"ulyanov","year":"2018","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.09.002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.613"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477613"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41778-3_18"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.481"},{"key":"ref159","first-page":"185","article-title":"To learn image super-resolution, use a gan to learn how to do image degradation first","author":"bulat","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref7","article-title":"Task-driven super resolution: Object detection in low-resolution images","author":"haris","year":"2018"},{"key":"ref49","first-page":"711","article-title":"On single image scale-up using sparse-representations","author":"zeyde","year":"2010","journal-title":"Proc Int Conf Curves Surfaces"},{"key":"ref157","article-title":"pytorch-opcounter","author":"zhu","year":"2019"},{"key":"ref9","first-page":"210","article-title":"SOD-MTGAN: Small object detection via multi-task generative adversarial network","author":"zhang","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.121"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3011549.3011551"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref47","article-title":"2018 PIRM challenge on perceptual image super-resolution","author":"blau","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshop"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.206"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00264"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_12"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2011.06.004"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2109730"},{"key":"ref78","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 30th Int Conf Neural Inf Process Syst"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.514"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881959"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.50"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.930649"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.36"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.581"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2865304"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2016.12.009"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2831899"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.213"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref197","first-page":"235","article-title":"Bidirectional recurrent convolutional networks for multi-frame super-resolution","author":"huang","year":"2015","journal-title":"Proc NIPS"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2701380"},{"key":"ref199","first-page":"4053","article-title":"Building an end-to-end spatial-temporal convolutional network for video super-resolution","author":"guo","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2011.6082986"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.274"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2820807"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.479"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00167"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2893965"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.68"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2532323"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00003"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532538"},{"key":"ref91","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539957"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00082"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_32"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.241"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref81","first-page":"315","article-title":"PIRM challenge on perceptual image enhancement on smartphones: Report","author":"ignatov","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref83","first-page":"3118","article-title":"Zero-shot","author":"shocher","year":"2018","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.149"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299003"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00178"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00399"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00402"},{"key":"ref88","first-page":"111","article-title":"A+: Adjusted anchored neighborhood regression for fast super-resolution","author":"timofte","year":"2014","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref200","first-page":"799","article-title":"Bidirectional lstm networks for improved phoneme classification and recognition","author":"graves","year":"2005","journal-title":"Proc Int Conf Artif Neural Netw"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.142"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00990"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.138"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00340"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00693"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01077"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00185"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01253"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.211"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00420"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00134"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01130"},{"key":"ref212","first-page":"4095","article-title":"Efficient neural architecture search via parameter sharing","author":"pham","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref213","article-title":"Darts: Differentiable architecture search","author":"liu","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref214","first-page":"735","article-title":"Nat: Neural architecture transformer for accurate and compact architectures","author":"guo","year":"2019","journal-title":"Proc NIPS"},{"key":"ref127","first-page":"658","article-title":"Generating images with perceptual similarity metrics based on deep networks","author":"dosovitskiy","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2644865"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000045324.43199.43"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00258"},{"key":"ref129","first-page":"262","article-title":"Texture synthesis using convolutional neural networks","author":"gatys","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref128","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_27"},{"key":"ref134","article-title":"The relativistic discriminator: A key element missing from standard GAN","author":"jolicoeur-martineau","year":"2019"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00113"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref136","first-page":"5769","article-title":"Improved training of wasserstein GANs","author":"gulrajani","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref135","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref137","article-title":"Spectral normalization for generative adversarial networks","author":"miyato","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.851684"},{"key":"ref141","article-title":"Dual reconstruction nets for image super-resolution with gradient sensitive loss","author":"guo","year":"2018"},{"key":"ref142","first-page":"114","article-title":"Analyzing perception-distortion tradeoff using enhanced perceptual super-resolution network","author":"vasu","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshop"},{"key":"ref143","first-page":"51","article-title":"Generative adversarial network-based image super-resolution using perceptual content losses","author":"cheon","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshop"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICTSD.2015.7095900"},{"key":"ref144","article-title":"Deep learning-based image super-resolution considering quantitative and perceptual quality","author":"choi","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshop"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxm075"},{"key":"ref145","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"sergey","year":"2015","journal-title":"Proc 32nd Int Conf Int Conf Mach Learn"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref106","article-title":"Residual non-local attention networks for image restoration","author":"zhang","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref103","article-title":"Esrgan: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshop"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref111","first-page":"4797","article-title":"Conditional image generation with PixelCNN decoders","author":"van den oord","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1038\/nature03390"},{"key":"ref110","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1981.1163711"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0450(1979)018<1016:LFIOAT>2.0.CO;2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(91)90045-L"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1944846.1944852"},{"key":"ref14","first-page":"1","article-title":"Image super-resolution using gradient profile prior","author":"sun","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1109\/TPAMI.2010.25","article-title":"Single-image super-resolution using sparse regression and natural image prior","volume":"32","author":"kim","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2045707"},{"key":"ref118","author":"mallat","year":"1999","journal-title":"A Wavelet Tour of Signal Processing"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/38.988747"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970104"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315043"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.152"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.180"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00133"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.148"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.187"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00121"},{"key":"ref123","first-page":"243","article-title":"Fast and efficient image quality enhancement via desubpixel convolutional neural networks","author":"vu","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshop"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9527405\/09044873.pdf?arnumber=9044873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:24Z","timestamp":1652194164000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9044873\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":214,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.2982166","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}