{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T05:25:03Z","timestamp":1755926703166,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61901083;62001092"],"award-info":[{"award-number":["61901083;62001092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2018YFE0203900"],"award-info":[{"award-number":["2018YFE0203900"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3547946","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:46Z","timestamp":1665416566000},"page":"1512-1521","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis"],"prefix":"10.1145","author":[{"given":"Shuai","family":"Li","sequence":"first","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaixin","family":"Wang","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanbo","family":"Gao","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xun","family":"Cai","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mao","family":"Ye","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2013.2281658"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1997.609457"},{"key":"e_1_3_2_2_3_1","volume-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","author":"Badrinarayanan Vijay","year":"2017","unstructured":"Vijay Badrinarayanan , Alex Kendall , and Roberto Cipolla . 2017 . Segnet: A deep convolutional encoder-decoder architecture for image segmentation . IEEE transactions on pattern analysis and machine intelligence, Vol. 39 , 12 (2017), 2481--2495. Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence, Vol. 39, 12 (2017), 2481--2495."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/app10051562"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00782"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00787"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2011.2125110"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.524762"},{"key":"e_1_3_2_2_10_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 5515--5524","author":"Flynn John","year":"2016","unstructured":"John Flynn , Ivan Neulander , James Philbin , and Noah Snavely . 2016 . Deepstereo: Learning to predict new views from the world's imagery . In Proceedings of the IEEE conference on computer vision and pattern recognition. 5515--5524 . John Flynn, Ivan Neulander, James Philbin, and Noah Snavely. 2016. Deepstereo: Learning to predict new views from the world's imagery. In Proceedings of the IEEE conference on computer vision and pattern recognition. 5515--5524."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3130800.3130836","article-title":"Spinvr: towards live-streaming 3d virtual reality video","volume":"36","author":"Konrad Robert","year":"2017","unstructured":"Robert Konrad , Donald G Dansereau , Aniq Masood , and Gordon Wetzstein . 2017 . Spinvr: towards live-streaming 3d virtual reality video . ACM Transactions on Graphics (TOG) , Vol. 36 , 6 (2017), 1 -- 12 . Robert Konrad, Donald G Dansereau, Aniq Masood, and Gordon Wetzstein. 2017. Spinvr: towards live-streaming 3d virtual reality video. ACM Transactions on Graphics (TOG), Vol. 36, 6 (2017), 1--12.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.905873"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2006.270"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2791810"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2014.2302379"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.197"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2008.10.013"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2016.02.017"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2128862"},{"key":"e_1_3_2_2_24_1","unstructured":"Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017).  Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017)."},{"key":"e_1_3_2_2_25_1","volume-title":"Novel views of objects from a single image","author":"Rematas Konstantinos","year":"2016","unstructured":"Konstantinos Rematas , Chuong H. Nguyen , Tobias Ritschel , Mario Fritz , and Tinne Tuytelaars . 2016. Novel views of objects from a single image . IEEE transactions on pattern analysis and machine intelligence, Vol. 39 , 8 ( 2016 ), 1576--1590. Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, and Tinne Tuytelaars. 2016. Novel views of objects from a single image. IEEE transactions on pattern analysis and machine intelligence, Vol. 39, 8 (2016), 1576--1590."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_37"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.272"},{"key":"e_1_3_2_2_29_1","volume-title":"3D video and free viewpoint video-From capture to display. Pattern recognition","author":"Smolic Aljoscha","year":"2011","unstructured":"Aljoscha Smolic . 2011. 3D video and free viewpoint video-From capture to display. Pattern recognition , Vol. 44 , 9 ( 2011 ), 1958--1968. Aljoscha Smolic. 2011. 3D video and free viewpoint video-From capture to display. Pattern recognition, Vol. 44, 9 (2011), 1958--1968."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2004.839608"},{"key":"e_1_3_2_2_31_1","volume-title":"Image inpainting using multi-scale feature image translation. arXiv preprint arXiv:1711.08590","author":"Song Yuhang","year":"2017","unstructured":"Yuhang Song , Chao Yang , Zhe Lin , Hao Li , Qin Huang , and C-C Jay Kuo . 2017. Image inpainting using multi-scale feature image translation. arXiv preprint arXiv:1711.08590 , Vol. 2 ( 2017 ), 1. Yuhang Song, Chao Yang, Zhe Lin, Hao Li, Qin Huang, and C-C Jay Kuo. 2017. Image inpainting using multi-scale feature image translation. arXiv preprint arXiv:1711.08590, Vol. 2 (2017), 1."},{"key":"e_1_3_2_2_32_1","volume-title":"the 105th meeting of MPEG.","author":"Tanimoto Masayuki","year":"2013","unstructured":"Masayuki Tanimoto , Takanori Senoh , Sei Naito , Shinya Shimizu , Hideyoshi Horimai , Marek Doma'nski , Antony Vetro , Marius Preda , and Karsten Mueller . 2013 . Proposal on a new activity for the third phase of FTV . In the 105th meeting of MPEG. Masayuki Tanimoto, Takanori Senoh, Sei Naito, Shinya Shimizu, Hideyoshi Horimai, Marek Doma'nski, Antony Vetro, Marius Preda, and Karsten Mueller. 2013. Proposal on a new activity for the third phase of FTV. In the 105th meeting of MPEG."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.939077"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2011.2182101"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_20"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2477935"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1080\/10867651.2004.10487596"},{"key":"e_1_3_2_2_38_1","volume-title":"Metaxas","author":"Tian Yu","year":"2018","unstructured":"Yu Tian , Xi Peng , Long Zhao , Shaoting Zhang , and Dimitris N . Metaxas . 2018 . CR-GAN : learning complete representations for multi-view generation. arXiv preprint arXiv:1806.11191 (2018). Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, and Dimitris N. Metaxas. 2018. CR-GAN: learning complete representations for multi-view generation. arXiv preprint arXiv:1806.11191 (2018)."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00063"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00466"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00843"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00788"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2014.2321671"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00455"},{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 5505--5514","author":"Yu Jiahui","key":"e_1_3_2_2_45_1","unstructured":"Jiahui Yu , Zhe Lin , Jimei Yang , Xiaohui Shen , Xin Lu , and Thomas S. Huang . 2018. Generative image inpainting with contextual attention . In Proceedings of the IEEE conference on computer vision and pattern recognition. 5505--5514 . Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S. Huang. 2018. Generative image inpainting with contextual attention. In Proceedings of the IEEE conference on computer vision and pattern recognition. 5505--5514."},{"volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision. 4471--4480","author":"Yu Jiahui","key":"e_1_3_2_2_46_1","unstructured":"Jiahui Yu , Zhe Lin , Jimei Yang , Xiaohui Shen , Xin Lu , and Thomas S. Huang . 2019. Free-form image inpainting with gated convolution . In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 4471--4480 . Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S. Huang. 2019. Free-form image inpainting with gated convolution. In Proceedings of the IEEE\/CVF International Conference on Computer Vision. 4471--4480."},{"key":"e_1_3_2_2_47_1","volume-title":"Ming-Hsuan Yang, and Ling Shao.","author":"Zamir Syed Waqas","year":"2020","unstructured":"Syed Waqas Zamir , Aditya Arora , Salman Khan , Munawar Hayat , Fahad Shahbaz Khan , Ming-Hsuan Yang, and Ling Shao. 2020 . Learning Enriched Features for Real Image Restoration and Enhancement. In ECCV. Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao. 2020. Learning Enriched Features for Real Image Restoration and Enhancement. In ECCV."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00153"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3197517.3201323","article-title":"Stereo magnification: Learning view synthesis using multiplane images","volume":"37","author":"Zhou Tinghui","year":"2018","unstructured":"Tinghui Zhou , Richard Tucker , John Flynn , Graham Fyffe , and Noah Snavely . 2018 . Stereo magnification: Learning view synthesis using multiplane images . ACM Transactions on Graphics , Vol. 37 , 4 (2018), 1 -- 12 . Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely. 2018. Stereo magnification: Learning view synthesis using multiplane images. ACM Transactions on Graphics, Vol. 37, 4 (2018), 1--12.","journal-title":"ACM Transactions on Graphics"},{"key":"e_1_3_2_2_50_1","volume-title":"Efros","author":"Zhou Tinghui","year":"2016","unstructured":"Tinghui Zhou , Shubham Tulsiani , Weilun Sun , Jitendra Malik , and Alexei A . Efros . 2016 . View synthesis by appearance flow. In Proceedings of the European Conference on Computer Vision (ECCV). Springer , 286--301. Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A. Efros. 2016. View synthesis by appearance flow. In Proceedings of the European Conference on Computer Vision (ECCV). Springer, 286--301."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2015.2475697"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9964-1"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"e_1_3_2_2_54_1","volume-title":"Matthew Uyttendaele, Simon Winder, and Richard Szeliski.","author":"Zitnick C. Lawrence","year":"2004","unstructured":"C. Lawrence Zitnick , Sing Bing Kang , Matthew Uyttendaele, Simon Winder, and Richard Szeliski. 2004 . High-quality video view interpolation using a layered representation. ACM transactions on graphics (TOG) , Vol. 23 , 3 (2004), 600--608. C. Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski. 2004. High-quality video view interpolation using a layered representation. ACM transactions on graphics (TOG), Vol. 23, 3 (2004), 600--608."},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01618"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547946","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547946","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:31Z","timestamp":1750186831000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547946"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":55,"alternative-id":["10.1145\/3503161.3547946","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3547946","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}