{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:47:47Z","timestamp":1777488467939,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819609109","type":"print"},{"value":"9789819609116","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0911-6_24","type":"book-chapter","created":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T07:57:05Z","timestamp":1733558225000},"page":"409-425","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Reference-Based Face Super-Resolution Using the\u00a0Spatial Transformer"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-2615-6406","authenticated-orcid":false,"given":"Varun Ramesh","family":"Jois","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonella","family":"DiLillo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Storer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,8]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1109\/TMM.2023.3264882","volume":"26","author":"L Agnolucci","year":"2024","unstructured":"Agnolucci, L., Galteri, L., Bertini, M., Bimbo, A.D.: Perceptual quality improvement in videoconferencing using keyframes-based gan. IEEE Trans. Multimedia 26, 339\u2013352 (2024). https:\/\/doi.org\/10.1109\/TMM.2023.3264882","journal-title":"IEEE Trans. Multimedia"},{"key":"24_CR2","doi-asserted-by":"publisher","unstructured":"Blau, Y., Michaeli, T.: The perception-distortion tradeoff. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 6228\u20136237 (2018).https:\/\/doi.org\/10.1109\/CVPR.2018.00652","DOI":"10.1109\/CVPR.2018.00652"},{"key":"24_CR3","doi-asserted-by":"publisher","unstructured":"Chan, K.C., Wang, X., Yu, K., Dong, C., Loy, C.C.: Basicvsr: The search for essential components in video super-resolution and beyond. In: 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4945\u20134954 (2021). https:\/\/doi.org\/10.1109\/CVPR46437.2021.00491","DOI":"10.1109\/CVPR46437.2021.00491"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Chan, K.C., Wang, X., Yu, K., Dong, C., Loy, C.C.: Understanding deformable alignment in video super-resolution. Proceedings of the AAAI Conference on Artificial Intelligence 35(2), 973\u2013981 (2021) 10.1609\/aaai.v35i2.16181, https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/16181","DOI":"10.1609\/aaai.v35i2.16181"},{"key":"24_CR5","doi-asserted-by":"publisher","unstructured":"Chan, K.C., Zhou, S., Xu, X., Loy, C.C.: Basicvsr++: Improving video super-resolution with enhanced propagation and alignment. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5962\u20135971 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00588","DOI":"10.1109\/CVPR52688.2022.00588"},{"key":"24_CR6","doi-asserted-by":"publisher","unstructured":"Chung, J.S., Nagrani, A., Zisserman, A.: VoxCeleb2: Deep Speaker Recognition. In: Proc. Interspeech 2018. pp. 1086\u20131090 (2018).https:\/\/doi.org\/10.21437\/Interspeech.2018-1929","DOI":"10.21437\/Interspeech.2018-1929"},{"key":"24_CR7","doi-asserted-by":"publisher","unstructured":"Dai, J., Qi, H., Xiong, Y., Li, Y., Zhang, G., Hu, H., Wei, Y.: Deformable convolutional networks. In: 2017 IEEE International Conference on Computer Vision (ICCV). pp. 764\u2013773 (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.89","DOI":"10.1109\/ICCV.2017.89"},{"key":"24_CR8","doi-asserted-by":"publisher","unstructured":"Dogan, B., Gu, S., Timofte, R.: Exemplar guided face image super-resolution without facial landmarks. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp. 1814\u20131823 (2019).https:\/\/doi.org\/10.1109\/CVPRW.2019.00232","DOI":"10.1109\/CVPRW.2019.00232"},{"key":"24_CR9","doi-asserted-by":"publisher","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 770\u2013778 (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"key":"24_CR10","unstructured":"Jaderberg, M., Simonyan, K., Zisserman, A., Kavukcuoglu, K.: Spatial transformer networks. In: Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2. p. 2017-2025. NIPS\u201915, MIT Press, Cambridge, MA, USA (2015)"},{"key":"24_CR11","doi-asserted-by":"publisher","unstructured":"Jiang, Y., Chan, K.C., Wang, X., Loy, C.C., Liu, Z.: Robust reference-based super-resolution via c2-matching. In: 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 2103\u20132112 (2021).https:\/\/doi.org\/10.1109\/CVPR46437.2021.00214","DOI":"10.1109\/CVPR46437.2021.00214"},{"key":"24_CR12","unstructured":"Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of gans for improved quality, stability, and variation (2018)"},{"key":"24_CR13","doi-asserted-by":"publisher","unstructured":"Krist\u00f3f, Z.: International trends of remote teaching ordered in light of the coronavirus (covid-19) and its most popular video conferencing applications that implement communication. Central European Journal of Educational Research 2(2), 84-92 (Jul 2020).https:\/\/doi.org\/10.37441\/CEJER\/2020\/2\/2\/7917, https:\/\/ojs.lib.unideb.hu\/CEJER\/article\/view\/7917","DOI":"10.37441\/CEJER\/2020\/2\/2\/7917"},{"key":"24_CR14","doi-asserted-by":"publisher","unstructured":"Lee, C.H., Liu, Z., Wu, L., Luo, P.: Maskgan: Towards diverse and interactive facial image manipulation. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5548\u20135557 (2020).https:\/\/doi.org\/10.1109\/CVPR42600.2020.00559","DOI":"10.1109\/CVPR42600.2020.00559"},{"key":"24_CR15","doi-asserted-by":"publisher","unstructured":"Li, X., Li, W., Ren, D., Zhang, H., Wang, M., Zuo, W.: Enhanced blind face restoration with multi-exemplar images and adaptive spatial feature fusion. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 2703\u20132712 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00278","DOI":"10.1109\/CVPR42600.2020.00278"},{"key":"24_CR16","doi-asserted-by":"publisher","unstructured":"Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. In: Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV). p. 3730-3738. ICCV \u201915, IEEE Computer Society, USA (2015).https:\/\/doi.org\/10.1109\/ICCV.2015.425, https:\/\/doi.org\/10.1109\/ICCV.2015.425","DOI":"10.1109\/ICCV.2015.425"},{"key":"24_CR17","doi-asserted-by":"publisher","unstructured":"R\u00f6ssler, A., Cozzolino, D., Verdoliva, L., Riess, C., Thies, J., Niessner, M.: Faceforensics++: Learning to detect manipulated facial images. In: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV). pp. 1\u201311 (2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00009","DOI":"10.1109\/ICCV.2019.00009"},{"key":"24_CR18","doi-asserted-by":"publisher","unstructured":"Shi, W., Caballero, J., Husz\u00e1r, F., Totz, J., Aitken, A.P., Bishop, R., Rueckert, D., Wang, Z.: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1874\u20131883 (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.207","DOI":"10.1109\/CVPR.2016.207"},{"key":"24_CR19","doi-asserted-by":"publisher","unstructured":"Suduc, A.M., Bizoi, M.: Ai shapes the future of web conferencing platforms. Procedia Computer Science 214, 288\u2013294 (2022).https:\/\/doi.org\/10.1016\/j.procs.2022.11.177, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1877050922018877, 9th International Conference on Information Technology and Quantitative Management","DOI":"10.1016\/j.procs.2022.11.177"},{"key":"24_CR20","doi-asserted-by":"publisher","unstructured":"Tian, Y., Zhang, Y., Fu, Y., Xu, C.: Tdan: Temporally-deformable alignment network for video super-resolution. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3357\u20133366 (2020).https:\/\/doi.org\/10.1109\/CVPR42600.2020.00342","DOI":"10.1109\/CVPR42600.2020.00342"},{"key":"24_CR21","doi-asserted-by":"publisher","unstructured":"Tudor, C.: The impact of the covid-19 pandemic on the global web and video conferencing saas market. Electronics 11(16) (2022).https:\/\/doi.org\/10.3390\/electronics11162633, https:\/\/www.mdpi.com\/2079-9292\/11\/16\/2633","DOI":"10.3390\/electronics11162633"},{"key":"24_CR22","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention is all you need. In: Proceedings of the 31st International Conference on Neural Information Processing Systems. p. 6000-6010. NIPS\u201917, Curran Associates Inc., Red Hook, NY, USA (2017)"},{"key":"24_CR23","doi-asserted-by":"publisher","unstructured":"Wang, X., Chan, K.C., Yu, K., Dong, C., Loy, C.C.: Edvr: Video restoration with enhanced deformable convolutional networks. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp. 1954\u20131963 (2019). https:\/\/doi.org\/10.1109\/CVPRW.2019.00247","DOI":"10.1109\/CVPRW.2019.00247"},{"issue":"4","key":"24_CR24","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A., Sheikh, H., Simoncelli, E.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004). https:\/\/doi.org\/10.1109\/TIP.2003.819861","journal-title":"IEEE Trans. Image Process."},{"key":"24_CR25","doi-asserted-by":"publisher","unstructured":"Xiang, X., Morton, J., Reda, F.A., Young, L.D., Perazzi, F., Ranjan, R., Kumar, A., Colaco, A., Allebach, J.P.: Hime: Efficient headshot image super-resolution with multiple exemplars. In: 2023 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV). pp. 1694\u20131704 (2023).https:\/\/doi.org\/10.1109\/WACV56688.2023.00174","DOI":"10.1109\/WACV56688.2023.00174"},{"key":"24_CR26","doi-asserted-by":"publisher","unstructured":"Yang, F., Yang, H., Fu, J., Lu, H., Guo, B.: Learning texture transformer network for image super-resolution. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5790\u20135799 (2020).https:\/\/doi.org\/10.1109\/CVPR42600.2020.00583","DOI":"10.1109\/CVPR42600.2020.00583"},{"key":"24_CR27","doi-asserted-by":"publisher","unstructured":"Zhang, L., Li, X., He, D., Li, F., Ding, E., Zhang, Z.: Lmr: A large-scale multi-reference dataset for reference-based super-resolution. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV). pp. 13072\u201313081 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.01206","DOI":"10.1109\/ICCV51070.2023.01206"},{"key":"24_CR28","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Wang, Z., Lin, Z., Qi, H.: Image super-resolution by neural texture transfer. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 7974\u20137983 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00817","DOI":"10.1109\/CVPR.2019.00817"},{"key":"24_CR29","doi-asserted-by":"publisher","unstructured":"Zhu, X., Hu, H., Lin, S., Dai, J.: Deformable convnets v2: More deformable, better results. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 9300\u20139308 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00953","DOI":"10.1109\/CVPR.2019.00953"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ACCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0911-6_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T08:21:54Z","timestamp":1733559714000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0911-6_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"ISBN":["9789819609109","9789819609116"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0911-6_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,8]]},"assertion":[{"value":"8 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"accv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}