{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:12:25Z","timestamp":1742911945976,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":26,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819787913"},{"type":"electronic","value":"9789819787920"}],"license":[{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"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\/978-981-97-8792-0_28","type":"book-chapter","created":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T06:57:39Z","timestamp":1731049059000},"page":"402-415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Video Frame Interpolation for\u00a0Large Motion with\u00a0Generative Prior"],"prefix":"10.1007","author":[{"given":"Yuheng","family":"Huang","sequence":"first","affiliation":[]},{"given":"Xu","family":"Jia","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Su","sequence":"additional","affiliation":[]},{"given":"Lu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaomin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qinghe","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Huchuan","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,9]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Choi, M., Kim, H., Han, B., Xu, N., Lee, K.M.: Channel attention is all you need for video frame interpolation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 10663\u201310671 (2020)","DOI":"10.1609\/aaai.v34i07.6693"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Danier, D., Zhang, F., Bull, D.: Flolpips: a bespoke video quality metric for frame interpolation. In: 2022 Picture Coding Symposium (PCS), pp. 283\u2013287. IEEE (2022)","DOI":"10.1109\/PCS56426.2022.10018062"},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"Danier, D., Zhang, F., Bull, D.: LDMVFI: video frame interpolation with latent diffusion models (2023). arXiv:2303.09508","DOI":"10.1609\/aaai.v38i2.27912"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Danier, D., Zhang, F., Bull, D.R.: BVI-VFI: a video quality database for video frame interpolation. IEEE Trans. Image Process. (2023)","DOI":"10.1109\/TIP.2023.3327912"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Esser, P., Rombach, R., Ommer, B.: Taming transformers for high-resolution image synthesis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12873\u201312883 (2021)","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"28_CR6","unstructured":"Geyer, M., Bar-Tal, O., Bagon, S., Dekel, T.: Tokenflow: consistent diffusion features for consistent video editing (2023). arXiv:2307.10373"},{"key":"28_CR7","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Jiang, H., Sun, D., Jampani, V., Yang, M.H., Learned-Miller, E., Kautz, J.: Super SloMo: high quality estimation of multiple intermediate frames for video interpolation. In: Proceedings of the IEEE Conference on Computer Vsion and Pattern Recognition, pp. 9000\u20139008 (2018)","DOI":"10.1109\/CVPR.2018.00938"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Jin, X., Wu, L., Chen, J., Chen, Y., Koo, J., Hahm, C.H.: A unified pyramid recurrent network for video frame interpolation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1578\u20131587 (2023)","DOI":"10.1109\/CVPR52729.2023.00158"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Kong, L., Jiang, B., Luo, D., Chu, W., Huang, X., Tai, Y., Wang, C., Yang, J.: IFRNet: intermediate feature refine network for efficient frame interpolation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1969\u20131978 (2022)","DOI":"10.1109\/CVPR52688.2022.00201"},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"Lee, H., Kim, T., Chung, T.V., Pak, D., Ban, Y., Lee, S.: AdaCoF: adaptive collaboration of flows for video frame interpolation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5316\u20135325 (2020)","DOI":"10.1109\/CVPR42600.2020.00536"},{"key":"28_CR12","unstructured":"Li, C., Wu, G., Sun, Y., Tao, X., Tang, C.K., Tai, Y.W.: H-VFI: hierarchical frame interpolation for videos with large motions (2022). arXiv:2211.11309"},{"key":"28_CR13","unstructured":"Montgomery, C., Lars, H.: Xiph.org video test media (derf\u2019s collection) 6 (1994). Online, https:\/\/media.xiph.org\/video\/derf"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10684\u201310695 (2022)","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"28_CR15","doi-asserted-by":"crossref","unstructured":"Siyao, L., Zhao, S., Yu, W., Sun, W., Metaxas, D., Loy, C.C., Liu, Z.: Deep animation video interpolation in the wild. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6587\u20136595 (2021)","DOI":"10.1109\/CVPR46437.2021.00652"},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Sun, D., Yang, X., Liu, M.Y., Kautz, J.: PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8934\u20138943 (2018)","DOI":"10.1109\/CVPR.2018.00931"},{"key":"28_CR17","doi-asserted-by":"crossref","unstructured":"Teed, Z., Deng, J.: Raft: Recurrent all-pairs field transforms for optical flow. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part II 16, pp. 402\u2013419. Springer, Berlin (2020)","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"28_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2022.103434","volume":"220","author":"QN Tran","year":"2022","unstructured":"Tran, Q.N., Yang, S.H.: Video frame interpolation via down-up scale generative adversarial networks. Comput. Vis. Image Underst. 220, 103434 (2022)","journal-title":"Comput. Vis. Image Underst."},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"Wu, C.Y., Singhal, N., Krahenbuhl, P.: Video compression through image interpolation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 416\u2013431 (2018)","DOI":"10.1007\/978-3-030-01237-3_26"},{"key":"28_CR20","doi-asserted-by":"crossref","unstructured":"Wu, J.Z., Ge, Y., Wang, X., Lei, S.W., Gu, Y., Shi, Y., Hsu, W., Shan, Y., Qie, X., Shou, M.Z.: Tune-a-video: one-shot tuning of image diffusion models for text-to-video generation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 7623\u20137633 (2023)","DOI":"10.1109\/ICCV51070.2023.00701"},{"key":"28_CR21","doi-asserted-by":"crossref","unstructured":"Xing, J., Xia, M., Liu, Y., Zhang, Y., Zhang, Y., He, Y., Liu, H., Chen, H., Cun, X., Wang, X., et\u00a0al.: Make-your-video: customized video generation using textual and structural guidance (2023). arXiv:2306.00943","DOI":"10.1109\/TVCG.2024.3365804"},{"issue":"8","key":"28_CR22","doi-asserted-by":"publisher","first-page":"1106","DOI":"10.1007\/s11263-018-01144-2","volume":"127","author":"T Xue","year":"2019","unstructured":"Xue, T., Chen, B., Wu, J., Wei, D., Freeman, W.T.: Video enhancement with task-oriented flow. Int. J. Comput. Vision 127(8), 1106\u20131125 (2019)","journal-title":"Int. J. Comput. Vision"},{"key":"28_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, G., Zhu, Y., Wang, H., Chen, Y., Wu, G., Wang, L.: Extracting motion and appearance via inter-frame attention for efficient video frame interpolation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5682\u20135692 (2023)","DOI":"10.1109\/CVPR52729.2023.00550"},{"key":"28_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, L., Rao, A., Agrawala, M.: Adding conditional control to text-to-image diffusion models. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3836\u20133847 (2023)","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"28_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"28_CR26","unstructured":"Zhewei, H., Tianyuan, Z., Wen, H., Boxin, S., Shuchang, Z.: Rife: real-time intermediate flow estimation for video frame interpolation (2020). arXiv:2011.06294"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8792-0_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T07:11:40Z","timestamp":1731049900000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8792-0_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,9]]},"ISBN":["9789819787913","9789819787920"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8792-0_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,9]]},"assertion":[{"value":"9 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}