{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T04:34:53Z","timestamp":1792902893461,"version":"4.5.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1455886"],"award-info":[{"award-number":["IIS-1455886"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1617735"],"award-info":[{"award-number":["CCF-1617735"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1629914"],"award-info":[{"award-number":["CNS-1629914"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DUE-1833129"],"award-info":[{"award-number":["DUE-1833129"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1955395"],"award-info":[{"award-number":["IIS-1955395"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2101696"],"award-info":[{"award-number":["IIS-2101696"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["OAC-2104158"],"award-info":[{"award-number":["OAC-2104158"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1109\/tvcg.2021.3114815","type":"journal-article","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T17:37:32Z","timestamp":1632937052000},"page":"270-280","source":"Crossref","is-referenced-by-count":46,"title":["STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes"],"prefix":"10.1109","volume":"28","author":[{"given":"Jun","family":"Han","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danny Z.","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaoli","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2904063"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2816059"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2009.01689.x"},{"key":"ref4","article-title":"GLEAN: Generative latent bank for large-factor image super-resolution","author":"Chan","year":"2020","journal-title":"arXiv preprint"},{"key":"ref5","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proceedings of International Conference on Machine Learning","author":"Chen","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934332"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref9","first-page":"10542","article-title":"Large scale adversarial representation learning","volume-title":"Proceedings of Advances in Neural Information Processing Systems","author":"Donahue","year":"2019"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3030344"},{"key":"ref12","first-page":"201","article-title":"Why does unsupervised pre-training help deep learning?","volume-title":"Proceedings of the International Conference on Artificial Intelligence and Statistics","author":"Erhan","year":"2010"},{"key":"ref13","article-title":"Unsupervised representation learning by predicting image rotations","volume-title":"Proceedings of International Conference on Learning Representations","author":"Gidaris","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2021.3089627"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/PacificVis48177.2020.8737"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2880207"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2018.2881523"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934255"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934255"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3030346"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934312"},{"key":"ref26","article-title":"Using pre-training can improve model robustness and uncertainty","volume-title":"Proceedings of International Conference for Learning Representations","author":"Hendrycks","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/PacificVis.2019.00041"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00938"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1406.3269"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_35"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00399"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.4400"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2006.143"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.478"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00251"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298747"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.167"},{"key":"ref40","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","volume-title":"Proceedings of International Conference on Machine Learning","author":"Nair","year":"2010"},{"key":"ref41","article-title":"Video frame interpolation by plug-and-play deep locally linear embedding","author":"Nguyen","year":"2018","journal-title":"arXiv preprint"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.37"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_12"},{"key":"ref44","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proceedings of Advances in Neural Information Processing Systems","author":"Paszke","year":"2019"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0426(2004)021<1575:eansot>2.0.co;2"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.2019.8933759"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934375"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995360"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-47969-4_50"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3309993"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00329"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00831"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12802-8_10"},{"key":"ref56","article-title":"Loy. ESGAN: Enhanced super-resolution generative adversarial networks","volume-title":"Proceedings of the European Conference on Computer Vision Workshops","author":"Wang","year":"2018"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.2982166"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2956697"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-81627-8_15"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00343"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201304"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00113"},{"key":"ref63","first-page":"7324","article-title":"Making convolutional networks shift-invariant again","volume-title":"Proceedings of IEEE International Conference on Machine Learning","author":"Zhang","year":"2019"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00817"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/9663056\/09552857.pdf?arnumber=9552857","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T04:01:55Z","timestamp":1792900915000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9552857\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":65,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2021.3114815","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1]]}}}