{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:23:43Z","timestamp":1766067823653,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031431524"},{"type":"electronic","value":"9783031431531"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43153-1_6","type":"book-chapter","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T21:01:55Z","timestamp":1693861315000},"page":"63-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["VM-NeRF: Tackling Sparsity in\u00a0NeRF with\u00a0View Morphing"],"prefix":"10.1007","author":[{"given":"Matteo","family":"Bortolon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessio","family":"Del Bue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Poiesi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"issue":"2","key":"6_CR1","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/s11263-016-0902-9","volume":"120","author":"H Aan\u00e6s","year":"2016","unstructured":"Aan\u00e6s, H., Jensen, R.R., Vogiatzis, G., Tola, E., Dahl, A.B.: Large-scale data for multiple-view stereopsis. Int. J. Comput. Vision 120(2), 153\u2013168 (2016)","journal-title":"Int. J. Comput. Vision"},{"doi-asserted-by":"crossref","unstructured":"Barron, J.T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., Srinivasan, P.P.: Mip-NeRF: a multiscale representation for anti-aliasing neural radiance fields. In: ICCV (2021)","key":"6_CR2","DOI":"10.1109\/ICCV48922.2021.00580"},{"issue":"6","key":"6_CR3","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1145\/872726.806984","volume":"17","author":"GJ Chaitin","year":"1982","unstructured":"Chaitin, G.J.: Register allocation & spilling via graph coloring. ACM Sigplan Not. 17(6), 98\u2013101 (1982)","journal-title":"ACM Sigplan Not."},{"key":"6_CR4","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/978-3-031-19790-1_20","volume-title":"ECCV 2022","author":"D Chen","year":"2022","unstructured":"Chen, D., Liu, Y., Huang, L., Wang, B., Pan, P.: GeoAug: data augmentation for few-shot NeRF with geometry constraints. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13677, pp. 322\u2013337. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19790-1_20"},{"doi-asserted-by":"crossref","unstructured":"Chen, T., Wang, P., Fan, Z., Wang, Z.: Aug-NeRF: training stronger neural radiance fields with triple-level physically-grounded augmentations. In: CVPR (2022)","key":"6_CR5","DOI":"10.1109\/CVPR52688.2022.01476"},{"doi-asserted-by":"crossref","unstructured":"Devernay, F., Peon, A.R.: Novel view synthesis for stereoscopic cinema: detecting and removing artifacts. In: Workshop on 3D Video Processing (ACMMM) (2010)","key":"6_CR6","DOI":"10.1145\/1877791.1877798"},{"issue":"1","key":"6_CR7","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/s001380050120","volume":"12","author":"A Fusiello","year":"2000","unstructured":"Fusiello, A., Trucco, E., Verri, A.: A compact algorithm for rectification of stereo pairs. Mach. Vis. Appl. 12(1), 16\u201322 (2000)","journal-title":"Mach. Vis. Appl."},{"unstructured":"Gallo, O., Troccoli, A., Jampani, V.: Novel View Synthesis: From Depth-Based Warping to Multi-Plane Images and Beyond (2020). https:\/\/nvlabs.github.io\/nvs-tutorial-cvpr2020\/. Conference on Computer Vision and Pattern Recognition","key":"6_CR8"},{"doi-asserted-by":"crossref","unstructured":"Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2004)","key":"6_CR9","DOI":"10.1017\/CBO9780511811685"},{"doi-asserted-by":"crossref","unstructured":"Hedman, P., Srinivasan, P.P., Mildenhall, B., Barron, J.T., Debevec, P.: Baking neural radiance fields for real-time view synthesis. In: ICCV (2021)","key":"6_CR10","DOI":"10.1109\/ICCV48922.2021.00582"},{"unstructured":"Ichnowski, J., Avigal, Y., Kerr, J., Goldberg, K.: Dex-NeRF: using a neural radiance field to grasp transparent objects. In: CRL (2022)","key":"6_CR11"},{"doi-asserted-by":"crossref","unstructured":"Jain, A., Tancik, M., Abbeel, P.: Putting NeRF on a diet: semantically consistent few-shot view synthesis. In: ICCV (2021)","key":"6_CR12","DOI":"10.1109\/ICCV48922.2021.00583"},{"doi-asserted-by":"crossref","unstructured":"Kajiya, J., Herzen, B.: Ray tracing volume densities. In: SIGGRAPH (1984)","key":"6_CR13","DOI":"10.1145\/800031.808594"},{"key":"6_CR14","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/978-3-031-19824-3_13","volume-title":"ECCV 2022","author":"X Long","year":"2022","unstructured":"Long, X., Lin, C., Wang, P., Komura, T., Wang, W.: SparseNeuS: fast generalizable neural surface reconstruction from sparse views. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13692, pp. 210\u2013227. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19824-3_13"},{"issue":"2","key":"6_CR15","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/2945.468400","volume":"1","author":"N Max","year":"1995","unstructured":"Max, N.: Optical models for direct volume rendering. IEEE Trans. Vis. Comput. Graph. 1(2), 99\u2013108 (1995)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"issue":"29","key":"6_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3306346.3322980","volume":"38","author":"B Mildenhall","year":"2019","unstructured":"Mildenhall, B., et al.: Local light field fusion: practical view synthesis with prescriptive sampling guidelines. ACM Trans. Graph. 38(29), 1\u201314 (2019)","journal-title":"ACM Trans. Graph."},{"doi-asserted-by":"crossref","unstructured":"Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: NeRF: representing scenes as neural radiance fields for view synthesis. In: ECCV (2020)","key":"6_CR17","DOI":"10.1007\/978-3-030-58452-8_24"},{"issue":"4","key":"6_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3450626.3459812","volume":"40","author":"T M\u00fcller","year":"2021","unstructured":"M\u00fcller, T., Rousselle, F., Nov\u00e1k, J., Keller, A.: Real-time neural radiance caching for path tracing. ACM Trans. Graph. 40(4), 1\u201316 (2021)","journal-title":"ACM Trans. Graph."},{"doi-asserted-by":"crossref","unstructured":"Niemeyer, M., Barron, J.T., Mildenhall, B., Sajjadi, M.S.M., Geiger, A., Radwan, N.: RegNeRF: regularizing neural radiance fields for view synthesis from sparse inputs. In: CVPR (2022)","key":"6_CR19","DOI":"10.1109\/CVPR52688.2022.00540"},{"doi-asserted-by":"crossref","unstructured":"Qi, C.R., Litany, O., He, K., Guibas, L.J.: Deep hough voting for 3D object detection in point clouds. In: ICCV (2019)","key":"6_CR20","DOI":"10.1109\/ICCV.2019.00937"},{"unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: ICML (2021)","key":"6_CR21"},{"unstructured":"Rematas, K., Martin-Brualla, R., Ferrari, V.: ShaRF: shape-conditioned radiance fields from a single view. In: ICML (2021)","key":"6_CR22"},{"doi-asserted-by":"crossref","unstructured":"Sch\u00f6nberger, J.L., Frahm, J.M.: Structure-from-motion revisited. In: CVPR (2016)","key":"6_CR23","DOI":"10.1109\/CVPR.2016.445"},{"doi-asserted-by":"crossref","unstructured":"Seitz, S.M., Dyer, C.R.: View morphing. In: Conference on Computer Graphics and Interactive Techniques (1996)","key":"6_CR24","DOI":"10.1145\/237170.237196"},{"issue":"1","key":"6_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-019-0197-0","volume":"6","author":"C Shorten","year":"2019","unstructured":"Shorten, C., Khoshgoftaar, T.M.: A survey on image data augmentation for deep learning. J. Big Data 6(1), 1\u201348 (2019)","journal-title":"J. Big Data"},{"doi-asserted-by":"crossref","unstructured":"Tewari, A., et al.: Advances in neural rendering. In: Computer Graphics Forum, vol. 41, no. 2, pp. 703\u2013735 (2022)","key":"6_CR26","DOI":"10.1111\/cgf.14507"},{"issue":"08","key":"6_CR27","doi-asserted-by":"crossref","first-page":"8052","DOI":"10.1109\/TKDE.2022.3201037","volume":"35","author":"J Wang","year":"2023","unstructured":"Wang, J., et al.: Generalizing to unseen domains: a survey on domain generalization. IEEE Trans. Knowl. Data Eng. 35(08), 8052\u20138072 (2023)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"4","key":"6_CR28","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)","journal-title":"IEEE Trans. Image Process."},{"doi-asserted-by":"crossref","unstructured":"Xie, Y., et al.: Neural fields in visual computing and beyond. In: Computer Graphics Forum, vol. 41, no. 2, pp. 641\u2013676 (2022)","key":"6_CR29","DOI":"10.1111\/cgf.14505"},{"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: CVPR (2018)","key":"6_CR30","DOI":"10.1109\/CVPR.2018.00068"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43153-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:33:20Z","timestamp":1710329600000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43153-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031431524","9783031431531"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43153-1_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Udine","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"85","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}