{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T20:07:43Z","timestamp":1789157263703,"version":"build-2803163510"},"publisher-location":"Cham","reference-count":82,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032374288","type":"print"},{"value":"9783032374295","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-37429-5_23","type":"book-chapter","created":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T19:15:35Z","timestamp":1789154135000},"page":"392-412","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning Spectral and\u00a0Polarimetric Clues for\u00a0One-to-Multimodal Novel View Synthesis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9137-1482","authenticated-orcid":false,"given":"Federico","family":"Lincetto","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7072-0079","authenticated-orcid":false,"given":"Gianluca","family":"Agresti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5158-2395","authenticated-orcid":false,"given":"Mattia","family":"Rossi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piergiorgio","family":"Sartor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9502-2389","authenticated-orcid":false,"given":"Pietro","family":"Zanuttigh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,12]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","unstructured":"Arad, B., et\u00a0al.: Ntire 2022 spectral recovery challenge and data set. In: IEEE Conference on Computer Vision and Pattern Recognition Workshop, pp. 862\u2013880. IEEE (2022). https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00102","DOI":"10.1109\/CVPRW56347.2022.00102"},{"key":"23_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1007\/978-3-030-58586-0_33","volume-title":"Computer Vision \u2013 ECCV 2020","author":"Y Ba","year":"2020","unstructured":"Ba, Y., et al.: Deep shape from polarization. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12369, pp. 554\u2013571. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58586-0_33"},{"key":"23_CR3","doi-asserted-by":"publisher","unstructured":"Bachmann, R., et al.: 4m-21: an any-to-any vision model for tens of tasks and modalities. In: Globerson, A., et al. (eds.) Advances in Neural Information Processing Systems, vol.\u00a037, pp. 61872\u201361911. Curran Associates, Inc. (2024). https:\/\/doi.org\/10.52202\/079017-1977","DOI":"10.52202\/079017-1977"},{"key":"23_CR4","doi-asserted-by":"publisher","unstructured":"Bachmann, R., Mizrahi, D., Atanov, A., Zamir, A.: Multimae: multi-modal multi-task masked autoencoders. In: European Conference on Computer Vision, pp. 348\u2013367. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-031-19836-6_20","DOI":"10.1007\/978-3-031-19836-6_20"},{"key":"23_CR5","doi-asserted-by":"publisher","unstructured":"Boss, M., Braun, R., Jampani, V., Barron, J.T., Liu, C., Lensch, H.: Nerd: neural reflectance decomposition from image collections. In: International Conference on Computer Vision, pp. 12684\u201312694 (2021). https:\/\/doi.org\/10.1109\/ICCV48922.2021.01245","DOI":"10.1109\/ICCV48922.2021.01245"},{"key":"23_CR6","doi-asserted-by":"publisher","unstructured":"Cai, Y., et al.: Mst++: multi-stage spectral-wise transformer for efficient spectral reconstruction. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 745\u2013755 (2022). https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00090","DOI":"10.1109\/CVPRW56347.2022.00090"},{"key":"23_CR7","unstructured":"Camuffo, E., Barbato, F., Ozay, M., Milani, S., Michieli, U.: Mocha: multi-modal objects-aware cross-architecture alignment. In: European Conference on Computer Vision (2026)"},{"key":"23_CR8","doi-asserted-by":"publisher","unstructured":"Charatan, D., Li, S.L., Tagliasacchi, A., Sitzmann, V.: pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 19457\u201319467 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.01840","DOI":"10.1109\/CVPR52733.2024.01840"},{"key":"23_CR9","doi-asserted-by":"publisher","unstructured":"Chen, A., Xu, Z., Wei, X., Tang, S., Su, H., Geiger, A.: Dictionary fields: learning a neural basis decomposition. ACM Trans. Graph. (2023). https:\/\/doi.org\/10.1145\/3592135","DOI":"10.1145\/3592135"},{"key":"23_CR10","doi-asserted-by":"publisher","unstructured":"Chen, Q., Shu, S., Bai, X.: Thermal3d-gs: physics-induced 3d gaussians for thermal infrared novel-view synthesis. In: European Conference on Computer Vision, pp. 253\u2013269. Springer, Heidelberg (2024). https:\/\/doi.org\/10.1007\/978-3-031-73383-3_15","DOI":"10.1007\/978-3-031-73383-3_15"},{"key":"23_CR11","doi-asserted-by":"publisher","unstructured":"Chen, Y., Wu, Q., Zheng, C., Cham, T.J., Cai, J.: Sem2nerf: converting single-view semantic masks to neural radiance fields. In: European Conference on Computer Vision, pp. 730\u2013748. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-031-19781-9_42","DOI":"10.1007\/978-3-031-19781-9_42"},{"key":"23_CR12","doi-asserted-by":"publisher","unstructured":"Chou, Z.T., Huang, S.Y., Liu, I., Wang, Y.C.F., et\u00a0al.: Gsnerf: generalizable semantic neural radiance fields with enhanced 3d scene understanding. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 20806\u201320815 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.01966","DOI":"10.1109\/CVPR52733.2024.01966"},{"key":"23_CR13","doi-asserted-by":"publisher","unstructured":"Dai, P., Xu, J., Xie, W., Liu, X., Wang, H., Xu, W.: High-quality surface reconstruction using gaussian surfels. In: ACM International Conference on Computer Graphics and Interactive Techniques, pp. 1\u201311 (2024). https:\/\/doi.org\/10.1145\/3641519.3657441","DOI":"10.1145\/3641519.3657441"},{"key":"23_CR14","doi-asserted-by":"publisher","unstructured":"Darling, B.A., Ferwerda, J.A., Berns, R.S., Chen, T.: Real-time multispectral rendering with complex illumination. In: Color Imaging Conference, vol.\u00a019, pp. 345\u2013351. Society of Imaging Science and Technology (2011). https:\/\/doi.org\/10.1145\/3721250.3743035","DOI":"10.1145\/3721250.3743035"},{"key":"23_CR15","doi-asserted-by":"publisher","unstructured":"Dave, A., Zhao, Y., Veeraraghavan, A.: Pandora: polarization-aided neural decomposition of radiance. In: European Conference on Computer Vision, pp. 538\u2013556. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-031-20071-7_32","DOI":"10.1007\/978-3-031-20071-7_32"},{"key":"23_CR16","unstructured":"Dosovitskiy, A., et al.: An image is worth 16x16 words: transformers for image recognition at scale. In: International Conference on Learning Representations (2021)"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Gibson, S.F.: Using distance maps for accurate surface representation in sampled volumes. In: IEEE Symposium on Volume Visualization and Graphics, pp. 23\u201330 (1998)","DOI":"10.1145\/288126.288142"},{"key":"23_CR18","unstructured":"Griffiths, R., Dansereau, D.G.: RoRE: rotary ray embedding for generalised multi-modal scene understanding. In: International Conference on Learning Representations (2026). https:\/\/openreview.net\/forum?id=BR2ItBcqOo"},{"key":"23_CR19","unstructured":"Gropp, A., Yariv, L., Haim, N., Atzmon, M., Lipman, Y.: Implicit geometric regularization for learning shapes. In: International Conference on Machine Learning (2020). https:\/\/dl.acm.org\/doi\/abs\/10.5555\/3524938.3525293"},{"key":"23_CR20","doi-asserted-by":"publisher","unstructured":"Gro\u00dfmann, W., Horn, H., Niggemann, O.: Improving remote material classification ability with thermal imagery. Sci. Rep. 12(1), 17288 (2022). https:\/\/doi.org\/10.1038\/s41598-022-21588-4","DOI":"10.1038\/s41598-022-21588-4"},{"key":"23_CR21","doi-asserted-by":"publisher","unstructured":"Guo, H., Liu, H., Wen, J., Li, J.: Cross-spectral gaussian splatting with spatial occupancy consistency. In: AAAI Conference on Artificial Intelligence, vol. 39, pp. 3229\u20133237 (2025). https:\/\/doi.org\/10.1609\/aaai.v39i3.32333","DOI":"10.1609\/aaai.v39i3.32333"},{"key":"23_CR22","doi-asserted-by":"crossref","unstructured":"Han, Y., et al.: Polgs: polarimetric gaussian splatting for fast reflective surface reconstruction. In: International Conference on Computer Vision, pp. 28073\u201328082 (2025)","DOI":"10.1109\/ICCV51701.2025.02606"},{"issue":"10","key":"23_CR23","doi-asserted-by":"publisher","first-page":"9315","DOI":"10.1364\/OE.19.009315","volume":"19","author":"N Hashimoto","year":"2011","unstructured":"Hashimoto, N., et al.: Multispectral image enhancement for effective visualization. Opt. Express 19(10), 9315\u20139329 (2011). https:\/\/doi.org\/10.1364\/OE.19.009315","journal-title":"Opt. Express"},{"key":"23_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2025.103345","volume":"65","author":"M Hassan","year":"2025","unstructured":"Hassan, M., Forest, F., Fink, O., Mielle, M.: Thermonerf: a multimodal neural radiance field for joint rgb-thermal novel view synthesis of building facades. Adv. Eng. Inf. 65, 103345 (2025). https:\/\/doi.org\/10.1016\/j.aei.2025.103345","journal-title":"Adv. Eng. Inf."},{"key":"23_CR25","doi-asserted-by":"publisher","unstructured":"He, H., Liang, Y., Xiao, S., Chen, J., Chen, Y.: Cp-nerf: conditionally parameterized neural radiance fields for cross-scene novel view synthesis. Comput. Graph. Forum 42 (2023). https:\/\/doi.org\/10.1111\/cgf.14940","DOI":"10.1111\/cgf.14940"},{"key":"23_CR26","doi-asserted-by":"publisher","unstructured":"Huang, B., Yu, Z., Chen, A., Geiger, A., Gao, S.: 2d gaussian splatting for geometrically accurate radiance fields. In: ACM International Conference on Computer Graphics and Interactive Techniques, pp. 1\u201311 (2024). https:\/\/doi.org\/10.1145\/3641519.3657428","DOI":"10.1145\/3641519.3657428"},{"key":"23_CR27","doi-asserted-by":"publisher","unstructured":"Huang, Y.H., He, Y., Yuan, Y.J., Lai, Y.K., Gao, L.: Stylizednerf: consistent 3d scene stylization as stylized nerf via 2d-3d mutual learning. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 18321\u201318331 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.01780","DOI":"10.1109\/CVPR52688.2022.01780"},{"key":"23_CR28","doi-asserted-by":"publisher","unstructured":"Jain, A., Tancik, M., Abbeel, P.: Putting nerf on a diet: semantically consistent few-shot view synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5885\u20135894 (2021). https:\/\/doi.org\/10.1109\/ICCV48922.2021.00583","DOI":"10.1109\/ICCV48922.2021.00583"},{"key":"23_CR29","doi-asserted-by":"publisher","unstructured":"Jin, H., et al.: Tensoir: tensorial inverse rendering. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 165\u2013174 (2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.00024","DOI":"10.1109\/CVPR52729.2023.00024"},{"issue":"4","key":"23_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3592433","volume":"42","author":"B Kerbl","year":"2023","unstructured":"Kerbl, B., Kopanas, G., Leimkuehler, T., Drettakis, G.: 3d gaussian splatting for real-time radiance field rendering. ACM Trans. Graph. 42(4), 1\u201314 (2023). https:\/\/doi.org\/10.1145\/3592433","journal-title":"ACM Trans. Graph."},{"key":"23_CR31","doi-asserted-by":"publisher","unstructured":"Kerr, J., Kim, C.M., Goldberg, K., Kanazawa, A., Tancik, M.: Lerf: language embedded radiance fields. In: International Conference on Computer Vision, pp. 19729\u201319739 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.01807","DOI":"10.1109\/ICCV51070.2023.01807"},{"key":"23_CR32","doi-asserted-by":"publisher","unstructured":"Kim, Y., Jin, W., Cho, S., Baek, S.H.: Neural spectro-polarimetric fields. In: ACM International Conference on Computer Graphics and Interactive Techniques - Asia, pp. 1\u201311 (2023). https:\/\/doi.org\/10.1145\/3610548.3618172","DOI":"10.1145\/3610548.3618172"},{"key":"23_CR33","doi-asserted-by":"publisher","unstructured":"Lei, C., Huang, X., Zhang, M., Yan, Q., Sun, W., Chen, Q.: Polarized reflection removal with perfect alignment in the wild. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1750\u20131758 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00182","DOI":"10.1109\/CVPR42600.2020.00182"},{"key":"23_CR34","doi-asserted-by":"publisher","unstructured":"Lei, C., Qi, C., Xie, J., Fan, N., Koltun, V., Chen, Q.: Shape from polarization for complex scenes in the wild. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 12632\u201312641 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.01230","DOI":"10.1109\/CVPR52688.2022.01230"},{"key":"23_CR35","doi-asserted-by":"publisher","unstructured":"Li, C., et al.: Neisf: neural incident stokes field for geometry and material estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 21434\u201321445 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.02025","DOI":"10.1109\/CVPR52733.2024.02025"},{"key":"23_CR36","doi-asserted-by":"publisher","unstructured":"Li, C., et al.: Neisf++: neural incident stokes field for polarized inverse rendering of conductors and dielectrics. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 26493\u201326503 (2025). https:\/\/doi.org\/10.1109\/CVPR52734.2025.02467","DOI":"10.1109\/CVPR52734.2025.02467"},{"key":"23_CR37","doi-asserted-by":"publisher","unstructured":"Li, J., Li, Y., Sun, C., Wang, C., Xiang, J.: Spec-nerf: multi-spectral neural radiance fields. In: International Conference on Acoustics, Speech, and Signal Processing, pp. 2485\u20132489. IEEE (2024). https:\/\/doi.org\/10.1109\/ICASSP48485.2024.10446015","DOI":"10.1109\/ICASSP48485.2024.10446015"},{"key":"23_CR38","doi-asserted-by":"publisher","unstructured":"Li, R., Liu, J., Liu, G., Zhang, S., Zeng, B., Liu, S.: Spectralnerf: physically based spectral rendering with neural radiance field. In: AAAI Conference on Artificial Intelligence, vol.\u00a038, pp. 3154\u20133162 (2024). https:\/\/doi.org\/10.1609\/aaai.v38i4.28099","DOI":"10.1609\/aaai.v38i4.28099"},{"key":"23_CR39","doi-asserted-by":"publisher","unstructured":"Li, Z., Met al.: Neuralangelo: high-fidelity neural surface reconstruction. In: IEEE Conference on Computer Vision and Pattern Recognition (2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.00817","DOI":"10.1109\/CVPR52729.2023.00817"},{"key":"23_CR40","doi-asserted-by":"publisher","unstructured":"Liang, Z., Zhang, Q., Feng, Y., Shan, Y., Jia, K.: Gs-ir: 3d gaussian splatting for inverse rendering. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 21644\u201321653 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.02045","DOI":"10.1109\/CVPR52733.2024.02045"},{"key":"23_CR41","unstructured":"Lincetto, F., Agresti, G., Rossi, M., Zanuttigh, P.: Exploiting multiple priors for neural 3d indoor reconstruction. In: British Machine Vision Conference. BMVA (2023)"},{"key":"23_CR42","doi-asserted-by":"publisher","unstructured":"Lincetto, F., Agresti, G., Rossi, M., Zanuttigh, P.: Multimodalstudio: a heterogeneous sensor dataset and framework for neural rendering across multiple imaging modalities. In: IEEE Conference on Computer Vision and Pattern Recognition (2025). https:\/\/doi.org\/10.1109\/CVPR52734.2025.01024","DOI":"10.1109\/CVPR52734.2025.01024"},{"key":"23_CR43","doi-asserted-by":"publisher","unstructured":"Liu, Y., Hu, B., Huang, J., Tai, Y.W., Tang, C.K.: Instance neural radiance field. In: International Conference on Computer Vision, pp. 787\u2013796 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.00079","DOI":"10.1109\/ICCV51070.2023.00079"},{"key":"23_CR44","unstructured":"Lu, R., Chen, H., Zhu, Z., Qin, Y., Lu, M., Yan, C., et\u00a0al.: Thermalgaussian: thermal 3d gaussian splatting. In: International Conference on Learning Representations (2025)"},{"key":"23_CR45","doi-asserted-by":"publisher","first-page":"45331","DOI":"10.1109\/ACCESS.2024.3381531","volume":"12","author":"R Ma","year":"2024","unstructured":"Ma, R., Ma, T., Guo, D., He, S.: Novel view synthesis and dataset augmentation for hyperspectral data using nerf. IEEE Access 12, 45331\u201345341 (2024). https:\/\/doi.org\/10.1109\/ACCESS.2024.3381531","journal-title":"IEEE Access"},{"key":"23_CR46","doi-asserted-by":"crossref","unstructured":"Meng, G., et al.: Frn: fractal-based recursive spectral reconstruction network. Adv. Neural Inf. Process. Syst. (2025)","DOI":"10.52202\/085713-0884"},{"key":"23_CR47","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/978-3-030-58452-8_24","volume-title":"Computer Vision \u2013 ECCV 2020","author":"B Mildenhall","year":"2020","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: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12346, pp. 405\u2013421. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58452-8_24"},{"key":"23_CR48","doi-asserted-by":"crossref","unstructured":"Mizrahi, D., et al.: 4m: massively multimodal masked modeling. In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. (eds.) Advances in Neural Information Processing Systems, vol.\u00a036, pp. 58363\u201358408. Curran Associates, Inc. (2023). https:\/\/dl.acm.org\/doi\/10.5555\/3666122.3668666","DOI":"10.52202\/075280-2544"},{"issue":"3","key":"23_CR49","doi-asserted-by":"publisher","first-page":"B15","DOI":"10.1007\/b98879","volume":"57","author":"S Osher","year":"2004","unstructured":"Osher, S., Fedkiw, R., Piechor, K.: Level set methods and dynamic implicit surfaces. Appl. Mech. Rev. 57(3), B15\u2013B15 (2004). https:\/\/doi.org\/10.1007\/b98879","journal-title":"Appl. Mech. Rev."},{"key":"23_CR50","doi-asserted-by":"publisher","unstructured":"\u00d6zer, M., Weiherer, M., Hundhausen, M., Egger, B.: Exploring multi-modal neural scene representations with applications on thermal imaging. In: European Conference on Computer Vision, pp. 82\u201398. Springer, Heidelberg (2024). https:\/\/doi.org\/10.1007\/978-3-031-92805-5_6","DOI":"10.1007\/978-3-031-92805-5_6"},{"key":"23_CR51","doi-asserted-by":"crossref","unstructured":"Perez, F., Rojas, S., Hinojosa, C., Rueda-Chac\u00f3n, H., Ghanem, B.: Unmix-nerf: spectral unmixing meets neural radiance fields. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 26284\u201326293 (2025)","DOI":"10.1109\/ICCV51701.2025.02439"},{"key":"23_CR52","doi-asserted-by":"publisher","unstructured":"Poggi, M., Ramirez, P.Z., Tosi, F., Salti, S., Mattoccia, S., Di\u00a0Stefano, L.: Cross-spectral neural radiance fields. In: International Conference on 3D Vision, pp. 606\u2013616. IEEE (2022). https:\/\/doi.org\/10.1109\/3DV57658.2022.00071","DOI":"10.1109\/3DV57658.2022.00071"},{"key":"23_CR53","doi-asserted-by":"publisher","unstructured":"Qin, M., Li, W., Zhou, J., Wang, H., Pfister, H.: Langsplat: 3d language gaussian splatting. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 20051\u201320060 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.01895","DOI":"10.1109\/CVPR52733.2024.01895"},{"key":"23_CR54","doi-asserted-by":"publisher","unstructured":"Qu, Y., et al.: Goi: find 3d gaussians of interest with an optimizable open-vocabulary semantic-space hyperplane. In: ACM International Conference on Multimedia, pp. 5328\u20135337 (2024). https:\/\/doi.org\/10.1145\/3664647.3680852","DOI":"10.1145\/3664647.3680852"},{"key":"23_CR55","doi-asserted-by":"publisher","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 10684\u201310695 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.01042","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"23_CR56","doi-asserted-by":"publisher","unstructured":"Saponaro, P., Sorensen, S., Kolagunda, A., Kambhamettu, C.: Material classification with thermal imagery. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4649\u20134656 (2015). https:\/\/doi.org\/10.1109\/CVPR.2015.7299096","DOI":"10.1109\/CVPR.2015.7299096"},{"key":"23_CR57","doi-asserted-by":"publisher","unstructured":"Shi, Z., Chen, C., Xiong, Z., Liu, D., Wu, F.: Hscnn+: advanced cnn-based hyperspectral recovery from rgb images. In: IEEE Conference on Computer Vision and Pattern Recognition Workshop, pp. 939\u2013947 (2018). https:\/\/doi.org\/10.1109\/CVPRW.2018.00139","DOI":"10.1109\/CVPRW.2018.00139"},{"key":"23_CR58","doi-asserted-by":"publisher","unstructured":"Thirgood, C., Mendez, O., Ling, E., Storey, J., Hadfield, S.: Hypergs: hyperspectral 3d gaussian splatting. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5970\u20135979 (2025). https:\/\/doi.org\/10.1109\/CVPR52734.2025.00560","DOI":"10.1109\/CVPR52734.2025.00560"},{"issue":"15","key":"23_CR59","doi-asserted-by":"publisher","first-page":"3241","DOI":"10.1080\/01431160500127609","volume":"26","author":"V Tsagaris","year":"2005","unstructured":"Tsagaris, V., Anastassopoulos, V.: Multispectral image fusion for improved rgb representation based on perceptual attributes. Int. J. Remote Sens. 26(15), 3241\u20133254 (2005). https:\/\/doi.org\/10.1080\/01431160500127609","journal-title":"Int. J. Remote Sens."},{"key":"23_CR60","unstructured":"Varma, M., Wang, P., Chen, X., Chen, T., Venugopalan, S., Wang, Z.: Is attention all that nerf needs? In: International Conference on Learning Representations (2023)"},{"key":"23_CR61","doi-asserted-by":"publisher","unstructured":"Wang, H., Wen, S., Guo, B.: Polarimetric monocular gaussian splatting slam for dense surface reconstruction. In: ACM International Conference on Multimedia, pp. 7519\u20137528 (2025). https:\/\/doi.org\/10.1145\/3746027.3754925","DOI":"10.1145\/3746027.3754925"},{"key":"23_CR62","unstructured":"Wang, P., Liu, L., Liu, Y., Theobalt, C., Komura, T., Wang, W.: Neus: learning neural implicit surfaces by volume rendering for multi-view reconstruction. Adv. Neural Inf. Process. Syst. (2021). https:\/\/dl.acm.org\/doi\/10.5555\/3540261.3542342"},{"key":"23_CR63","doi-asserted-by":"publisher","unstructured":"Wang, W., Zhang, J., Shen, C.: Improved human detection and classification in thermal images. In: IEEE International Conference on Image Processing, pp. 2313\u20132316. IEEE (2010). https:\/\/doi.org\/10.1109\/ICIP.2010.5649946","DOI":"10.1109\/ICIP.2010.5649946"},{"key":"23_CR64","doi-asserted-by":"crossref","unstructured":"Wang, Y., Huang, D., Ye, W., Zhang, G., Ouyang, W., He, T.: Neurodin: a two-stage framework for high-fidelity neural surface reconstruction. Adv. Neural Inf. Process. Syst. 37, 103168\u2013103197 (2024). https:\/\/dl.acm.org\/doi\/10.5555\/3737916.3741194","DOI":"10.52202\/079017-3278"},{"key":"23_CR65","doi-asserted-by":"publisher","unstructured":"Wang, Y., Han, Q., Habermann, M., Daniilidis, K., Theobalt, C., Liu, L.: Neus2: fast learning of neural implicit surfaces for multi-view reconstruction. In: International Conference on Computer Vision, pp. 3295\u20133306 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.00305","DOI":"10.1109\/ICCV51070.2023.00305"},{"key":"23_CR66","doi-asserted-by":"publisher","unstructured":"Wang, Y., Fang, L., Zhu, H., Hu, F., Ye, L., Ma, Z.: Golf-nrt: integrating global context and local geometry for few-shot view synthesis*. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 21349\u201321359 (2025). https:\/\/doi.org\/10.1109\/CVPR52734.2025.01989","DOI":"10.1109\/CVPR52734.2025.01989"},{"key":"23_CR67","doi-asserted-by":"publisher","unstructured":"Wu, S., Basu, S., Broedermann, T., Van\u00a0Gool, L., Sakaridis, C.: Pbr-nerf: inverse rendering with physics-based neural fields. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 10974\u201310984 (2025). https:\/\/doi.org\/10.1109\/CVPR52734.2025.01025","DOI":"10.1109\/CVPR52734.2025.01025"},{"issue":"7","key":"23_CR68","doi-asserted-by":"publisher","first-page":"12736","DOI":"10.1109\/TNNLS.2024.3460190","volume":"36","author":"Y Wu","year":"2024","unstructured":"Wu, Y., Dian, R., Li, S.: Multistage spatial-spectral fusion network for spectral super-resolution. IEEE Trans. Neural Netw. Learn. Syst. 36(7), 12736\u201312746 (2024). https:\/\/doi.org\/10.1109\/TNNLS.2024.3460190","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"23_CR69","doi-asserted-by":"publisher","unstructured":"Xu, J., Liao, M., Kathirvel, R.P., Patel, V.M.: Leveraging thermal modality to enhance reconstruction in low-light conditions. In: European Conference on Computer Vision, pp. 321\u2013339. Springer, Heidelberg (2024). https:\/\/doi.org\/10.1007\/978-3-031-72913-3_18","DOI":"10.1007\/978-3-031-72913-3_18"},{"key":"23_CR70","doi-asserted-by":"publisher","unstructured":"Xu, Y., Zoss, G., Chandran, P., Gross, M., Bradley, D., Gotardo, P.: Renerf: relightable neural radiance fields with nearfield lighting. In: International Conference on Computer Vision, pp. 22581\u201322591 (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.02064","DOI":"10.1109\/ICCV51070.2023.02064"},{"key":"23_CR71","doi-asserted-by":"publisher","unstructured":"Yao, M., Wang, M., Tam, K.M., Li, L., Xue, T., Gu, J.: Polarfree: polarization-based reflection-free imaging. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 10890\u201310899 (2025). https:\/\/doi.org\/10.1109\/CVPR52734.2025.01017","DOI":"10.1109\/CVPR52734.2025.01017"},{"key":"23_CR72","unstructured":"Yariv, L., Gu, J., Kasten, Y., Lipman, Y.: Volume rendering of neural implicit surfaces. Adv. Neural Inf. Process. Syst. (2021). https:\/\/dl.acm.org\/doi\/10.5555\/3540261.3540628"},{"key":"23_CR73","doi-asserted-by":"crossref","unstructured":"Ye, T., et al.: Thermal-nerf: neural radiance fields from an infrared camera. In: International Conference on Intelligent Robots and Systems, pp. 1046\u20131053. IEEE (2024)","DOI":"10.1109\/IROS58592.2024.10802480"},{"key":"23_CR74","doi-asserted-by":"publisher","unstructured":"Yin, Q., Guo, P.: Multispectral remote sensing image classification with multiple features. In: International Conference on Machine Learning and Cybernetics, vol.\u00a01, pp. 360\u2013365. IEEE (2007). https:\/\/doi.org\/10.1109\/ICMLC.2007.4370170","DOI":"10.1109\/ICMLC.2007.4370170"},{"issue":"12","key":"23_CR75","doi-asserted-by":"publisher","first-page":"11961","DOI":"10.1109\/TPAMI.2025.3604010","volume":"47","author":"D Zhang","year":"2025","unstructured":"Zhang, D., et al.: Stylizedgs: controllable stylization for 3d gaussian splatting. IEEE Trans. Pattern Anal. Mach. Intell. 47(12), 11961\u201311973 (2025). https:\/\/doi.org\/10.1109\/TPAMI.2025.3604010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"23_CR76","doi-asserted-by":"publisher","unstructured":"Zhang, K., Luan, F., Li, Z., Snavely, N.: Iron: inverse rendering by optimizing neural sdfs and materials from photometric images. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 5565\u20135574 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00548","DOI":"10.1109\/CVPR52688.2022.00548"},{"key":"23_CR77","doi-asserted-by":"crossref","unstructured":"Zhang, K., Lyu, Y., Guo, H., Li, S., Ma, Z., Shi, B.: Polaranything: diffusion-based polarimetric image synthesis. In: International Conference on Computer Vision, pp. 26466\u201326476 (2025)","DOI":"10.1109\/ICCV51701.2025.02456"},{"key":"23_CR78","doi-asserted-by":"publisher","first-page":"27401","DOI":"10.1109\/ACCESS.2023.3254548","volume":"11","author":"Q Zhang","year":"2023","unstructured":"Zhang, Q., Wang, B.H., Yang, M.C., Zou, H.: Mmnerf: multi-modal and multi-view optimized cross-scene neural radiance fields. IEEE Access 11, 27401\u201327413 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3254548","journal-title":"IEEE Access"},{"key":"23_CR79","doi-asserted-by":"publisher","unstructured":"Zhang, Y., et al.: Ref-gs: directional factorization for 2d gaussian splatting. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 26483\u201326492 (2025). https:\/\/doi.org\/10.1109\/CVPR52734.2025.02466","DOI":"10.1109\/CVPR52734.2025.02466"},{"key":"23_CR80","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111271","volume":"161","author":"C Zhao","year":"2025","unstructured":"Zhao, C., Huang, X., Yang, K., Wang, X., Wang, Q.: Generalizable 3d gaussian splatting for novel view synthesis. Pattern Recogn. 161, 111271 (2025)","journal-title":"Pattern Recogn."},{"issue":"23","key":"23_CR81","doi-asserted-by":"publisher","first-page":"6480","DOI":"10.1364\/AO.55.006480","volume":"55","author":"Z Zhou","year":"2016","unstructured":"Zhou, Z., Dong, M., Xie, X., Gao, Z.: Fusion of infrared and visible images for night-vision context enhancement. Appl. Opt. 55(23), 6480\u20136490 (2016). https:\/\/doi.org\/10.1364\/AO.55.006480","journal-title":"Appl. Opt."},{"key":"23_CR82","doi-asserted-by":"publisher","unstructured":"Zhu, H., et al.: Caesarnerf: calibrated semantic representation for few-shot generalizable neural rendering. In: Varol, G. (ed.) European Conference on Computer Vision, pp. 71\u201389. Springer, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-031-72658-3_5","DOI":"10.1007\/978-3-031-72658-3_5"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-37429-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T19:15:42Z","timestamp":1789154142000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-37429-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032374288","9783032374295"],"references-count":82,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-37429-5_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"12 September 2026","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":"Malm\u00f6","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}