{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T18:38:44Z","timestamp":1762108724562,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031730320"},{"type":"electronic","value":"9783031730337"}],"license":[{"start":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T00:00:00Z","timestamp":1730332800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T00:00:00Z","timestamp":1730332800000},"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\/978-3-031-73033-7_21","type":"book-chapter","created":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T00:03:55Z","timestamp":1730333035000},"page":"373-389","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Flowed Time of\u00a0Flight Radiance Fields"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9851-4445","authenticated-orcid":false,"given":"Mikhail","family":"Okunev","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3762-4781","authenticated-orcid":false,"given":"Marc","family":"Mapeke","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0132-5232","authenticated-orcid":false,"given":"Benjamin","family":"Attal","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6716-9845","authenticated-orcid":false,"given":"Christian","family":"Richardt","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0740-9349","authenticated-orcid":false,"given":"Matthew","family":"O\u2019Toole","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2218-2899","authenticated-orcid":false,"given":"James","family":"Tompkin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,31]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Attal, B., et al.: HyperReel: high-fidelity 6-DoF video with ray-conditioned sampling. In: CVPR (2023)","DOI":"10.1109\/CVPR52729.2023.01594"},{"key":"21_CR2","unstructured":"Attal, B., et al.: T\u00f6RF: time-of-flight radiance fields for dynamic scene view synthesis. In: NeurIPS (2021)"},{"key":"21_CR3","unstructured":"Bi, S., et al.: Neural reflectance fields for appearance acquisition (2020). http:\/\/arxiv.org\/abs\/2008.03824arXiv:2008.03824"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Deng, K., Liu, A., Zhu, J.Y., Ramanan, D.: Depth-supervised NeRF: fewer views and faster training for free. In: CVPR (2022)","DOI":"10.1109\/CVPR52688.2022.01254"},{"key":"21_CR5","volume-title":"Principles of Digital Image Synthesis","author":"AS Glassner","year":"1994","unstructured":"Glassner, A.S.: Principles of Digital Image Synthesis. Morgan Kaufmann Publishers Inc., San Francisco (1994)"},{"key":"21_CR6","doi-asserted-by":"publisher","unstructured":"Gupta, M., Nayar, S.K., Hullin, M.B., Martin, J.: Phasor imaging: a generalization of correlation-based time-of-flight imaging. ACM Trans. Graph. 34(5), 156:1\u201318 (2015). https:\/\/doi.org\/10.1145\/2735702","DOI":"10.1145\/2735702"},{"key":"21_CR7","doi-asserted-by":"publisher","unstructured":"Hansard, M., Lee, S., Choi, O., Horaud, R.P.: Time-of-Flight Cameras: Principles, Methods and Applications. Springer, London (2012). https:\/\/doi.org\/10.1007\/978-1-4471-4658-2","DOI":"10.1007\/978-1-4471-4658-2"},{"key":"21_CR8","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1109\/TCI.2022.3174802","volume":"8","author":"C Henley","year":"2022","unstructured":"Henley, C., Hollmann, J., Raskar, R.: Bounce-flash lidar. IEEE Trans. Comput. Imaging 8, 411\u2013424 (2022). https:\/\/doi.org\/10.1109\/TCI.2022.3174802","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Hoegg, T., Lefloch, D., Kolb, A.: Real-time motion artifact compensation for PMD-ToF images. In: Proceedings of the Workshop on Imaging New Modalities, German Conference of Pattern Recognition (GCPR), vol. 8200, pp. 273\u2013288 (2013)","DOI":"10.1007\/978-3-642-44964-2_13"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Huang, S., et al.: Neural LiDAR fields for novel view synthesis. In: ICCV (2023)","DOI":"10.1109\/ICCV51070.2023.01672"},{"issue":"5","key":"21_CR11","doi-asserted-by":"publisher","first-page":"1682","DOI":"10.1109\/TIM.2010.2102390","volume":"60","author":"S Hussmann","year":"2011","unstructured":"Hussmann, S., Hermanski, A., Edeler, T.: Real-time motion artifact suppression in TOF camera systems. IEEE Trans. Instrum. Meas. 60(5), 1682\u20131690 (2011). https:\/\/doi.org\/10.1109\/TIM.2010.2102390","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"12","key":"21_CR12","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1016\/j.imavis.2014.08.014","volume":"32","author":"D Jimenez","year":"2014","unstructured":"Jimenez, D., Pizarro, D., Mazo, M.: Single frame correction of motion artifacts in PMD-based time of flight cameras. Image Vis. Comput. 32(12), 1127\u20131143 (2014). https:\/\/doi.org\/10.1016\/j.imavis.2014.08.014","journal-title":"Image Vis. Comput."},{"issue":"2","key":"21_CR13","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1111\/cgf.13630","volume":"32","author":"NK Kalantari","year":"2019","unstructured":"Kalantari, N.K., Ramamoorthi, R.: Deep HDR video from sequences with alternating exposures. Comput. Graph. Forum 32(2), 193\u2013205 (2019). https:\/\/doi.org\/10.1111\/cgf.13630","journal-title":"Comput. Graph. Forum"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Klinghoffer, T., et al.: PlatoNeRF: 3D reconstruction in Plato\u2019s cave via single-view two-bounce lidar. In: CVPR (2024)","DOI":"10.1109\/CVPR52733.2024.01380"},{"issue":"1","key":"21_CR15","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1111\/j.1467-8659.2009.01583.x","volume":"29","author":"A Kolb","year":"2010","unstructured":"Kolb, A., Barth, E., Koch, R., Larsen, R.: Time-of-flight cameras in computer graphics. Comput. Graph. Forum 29(1), 141\u2013159 (2010). https:\/\/doi.org\/10.1111\/j.1467-8659.2009.01583.x","journal-title":"Comput. Graph. Forum"},{"key":"21_CR16","unstructured":"Li, C., Hashimoto, T., Matsumoto, E., Kato, H.: Multi-view neural surface reconstruction with structured light. In: BMVC (2022). https:\/\/bmvc2022.mpi-inf.mpg.de\/0550.pdf"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Li, Z., Niklaus, S., Snavely, N., Wang, O.: Neural scene flow fields for space-time view synthesis of dynamic scenes. In: CVPR (2021)","DOI":"10.1109\/CVPR46437.2021.00643"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"Liang, Y., Laidlaw, E., Meyerowitz, A., Sridhar, S., Tompkin, J.: Semantic attention flow fields for monocular dynamic scene decomposition. In: ICCV (2023)","DOI":"10.1109\/ICCV51070.2023.01992"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Liba, O., et al.: Handheld mobile photography in very low light. ACM Trans. Graph. 38(6), 164-1 (2019)","DOI":"10.1145\/3355089.3356508"},{"key":"21_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/978-3-642-03778-8_2","volume-title":"Dynamic 3D Imaging","author":"M Lindner","year":"2009","unstructured":"Lindner, M., Kolb, A.: Compensation of motion artifacts for time-of-flight cameras. In: Kolb, A., Koch, R. (eds.) Dyn3D 2009. LNCS, vol. 5742, pp. 16\u201327. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03778-8_2"},{"key":"21_CR21","unstructured":"Malik, A., Mirdehghan, P., Nousias, S., Kutulakos, K., Lindell, D.: Transient neural radiance fields for lidar view synthesis and 3D reconstruction. In: NeurIPS (2024)"},{"issue":"1","key":"21_CR22","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1145\/3503250","volume":"65","author":"B Mildenhall","year":"2021","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. Commun. ACM 65(1), 99\u2013106 (2021)","journal-title":"Commun. ACM"},{"issue":"4","key":"21_CR23","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1111\/cgf.14340","volume":"40","author":"T Neff","year":"2021","unstructured":"Neff, T., et al.: DONeRF: towards real-time rendering of compact neural radiance fields using depth oracle networks. Comput. Graph. Forum 40(4), 45\u201359 (2021)","journal-title":"Comput. Graph. Forum"},{"key":"21_CR24","doi-asserted-by":"crossref","unstructured":"Niklaus, S., Liu, F.: Softmax splatting for video frame interpolation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5437\u20135446 (2020)","DOI":"10.1109\/CVPR42600.2020.00548"},{"key":"21_CR25","doi-asserted-by":"publisher","unstructured":"Pediredla, A., Veeraraghavan, A., Gkioulekas, I.: Ellipsoidal path connections for time-gated rendering. ACM Trans. Graph. 38(4), 1\u201312 (2019). https:\/\/doi.org\/10.1145\/3306346.3323016","DOI":"10.1145\/3306346.3323016"},{"key":"21_CR26","unstructured":"Pharr, M., Jakob, W., Humphreys, G.: Physically Based Rendering: From Theory to Implementation, 3rd edn. Elsevier (2016). https:\/\/www.pbr-book.org\/"},{"issue":"4","key":"21_CR27","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1016\/j.patcog.2003.10.002","volume":"37","author":"J Salvi","year":"2004","unstructured":"Salvi, J., Pag\u00e8s, J., Batlle, J.: Pattern codification strategies in structured light systems. Pattern Recogn. 37(4), 827\u2013849 (2004)","journal-title":"Pattern Recogn."},{"key":"21_CR28","doi-asserted-by":"crossref","unstructured":"Schelling, M., Hermosilla, P., Ropinski, T.: Weakly-supervised optical flow estimation for time-of-flight. In: WACV (2023)","DOI":"10.1109\/WACV56688.2023.00217"},{"key":"21_CR29","unstructured":"Schmidt, M.: Analysis, modeling and dynamic optimization of 3D time-of-flight imaging systems. Ph.D. thesis, University of Heidelberg (2011)"},{"key":"21_CR30","doi-asserted-by":"publisher","unstructured":"Shandilya, A., Attal, B., Richardt, C., Tompkin, J., O\u2019Toole, M.: Neural fields for structured lighting. In: ICCV, pp. 3512\u20133522 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.00325","DOI":"10.1109\/ICCV51070.2023.00325"},{"key":"21_CR31","doi-asserted-by":"crossref","unstructured":"Teed, Z., Deng, J.: RAFT: recurrent all pairs field transforms for optical flow. In: ECCV (2020)","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"21_CR32","doi-asserted-by":"crossref","unstructured":"Teed, Z., Deng, J.: RAFT-3D: scene flow using rigid-motion embeddings. In: CVPR (2021)","DOI":"10.1109\/CVPR46437.2021.00827"},{"key":"21_CR33","doi-asserted-by":"crossref","unstructured":"Verbin, D., Hedman, P., Mildenhall, B., Zickler, T., Barron, J.T., Srinivasan, P.P.: Ref-NeRF: structured view-dependent appearance for neural radiance fields. In: CVPR (2022)","DOI":"10.1109\/CVPR52688.2022.00541"},{"key":"21_CR34","unstructured":"Wu, T., Zhong, F., Tagliasacchi, A., Cole, F., Oztireli, C.: D$$^2$$NeRF: self-supervised decoupling of dynamic and static objects from a monocular video. In: NeurIPS (2022)"},{"key":"21_CR35","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14505","author":"Y Xie","year":"2022","unstructured":"Xie, Y., et al.: Neural fields in visual computing and beyond. Comput. Graph. Forum (2022). https:\/\/doi.org\/10.1111\/cgf.14505","journal-title":"Comput. Graph. Forum"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73033-7_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T00:39:57Z","timestamp":1730335197000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73033-7_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,31]]},"ISBN":["9783031730320","9783031730337"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73033-7_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,10,31]]},"assertion":[{"value":"31 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}