{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T07:07:03Z","timestamp":1788937623215,"version":"build-2803163510"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032375940","type":"print"},{"value":"9783032375957","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\/978-3-032-37595-7_13","type":"book-chapter","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T06:35:23Z","timestamp":1788935723000},"page":"230-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["TRiGS: Temporal Rigid-Body Motion for\u00a0Scalable 4D Gaussian Splatting"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4684-4785","authenticated-orcid":false,"given":"Suwoong","family":"Yeom","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7035-5603","authenticated-orcid":false,"given":"Joonsik","family":"Nam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1901-9868","authenticated-orcid":false,"given":"Seunggyu","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3632-1105","authenticated-orcid":false,"given":"Lucas\u00a0Yunkyu","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7018-1724","authenticated-orcid":false,"given":"Sangmin","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5541-409X","authenticated-orcid":false,"given":"Jaesik","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6470-0773","authenticated-orcid":false,"given":"Joonsoo","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7574-2853","authenticated-orcid":false,"given":"Kugjin","family":"Yun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1135-7502","authenticated-orcid":false,"given":"Kyeongbo","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4809-956X","authenticated-orcid":false,"given":"Suk-Ju","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,10]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Attal, B., et al.: Hyperreel: high-fidelity 6-dof video with ray-conditioned sampling. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16610\u201316620 (2023)","DOI":"10.1109\/CVPR52729.2023.01594"},{"key":"13_CR2","doi-asserted-by":"publisher","unstructured":"Bae, J., Kim, S., Yun, Y., Lee, H., Bang, G., Uh, Y.: Per-gaussian embedding-based deformation for deformable 3d gaussian splatting. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds.) ECCV 2024. LNCS, vol.15073. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-72633-0_18","DOI":"10.1007\/978-3-031-72633-0_18"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Cao, A., Johnson, J.: Hexplane: a fast representation for dynamic scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 130\u2013141 (2023)","DOI":"10.1109\/CVPR52729.2023.00021"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Chen, J., Hu, Z., Wu, P., Zhu, H., Li, H., Sun, X.: dash: 4d hash encoding with self-supervised decomposition for real-time dynamic scene rendering. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 26349\u201326359 (2025)","DOI":"10.1109\/ICCV51701.2025.02445"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Edstedt, J., Sun, Q., B\u00f6kman, G., Wadenb\u00e4ck, M., Felsberg, M.: Roma: robust dense feature matching. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 19790\u201319800 (2024)","DOI":"10.1109\/CVPR52733.2024.01871"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Fridovich-Keil, S., Meanti, G., Warburg, F.R., Recht, B., Kanazawa, A.: K-planes: Explicit radiance fields in space, time, and appearance. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12479\u201312488 (2023)","DOI":"10.1109\/CVPR52729.2023.01201"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Fu, J., Gao, Q., Wen, C., Wu, Y., Ma, S., Zhang, J., Zhang, J.: Recon-gs: Continuum-preserved gaussian streaming for fast and compact reconstruction of dynamic scenes. arXiv preprint arXiv:2509.24325 (2025)","DOI":"10.52202\/085713-4496"},{"key":"13_CR8","unstructured":"Gao, Z., Planche, B., Zheng, M., Choudhuri, A., Chen, T., Wu, Z.: 6dgs: enhanced direction-aware gaussian splatting for volumetric rendering, arXiv preprint arXiv:2410.04974 (2024)"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Gao, Z., Planche, B., Zheng, M., Choudhuri, A., Chen, T., Wu, Z.: 7dgs: unified spatial-temporal-angular gaussian splatting. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 26316\u201326325 (2025)","DOI":"10.1109\/ICCV51701.2025.02442"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Gu\u00e9don, A., Lepetit, V.: Sugar: surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5354\u20135363 (2024)","DOI":"10.1109\/CVPR52733.2024.00512"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Huang, B., Yu, Z., Chen, A., Geiger, A., Gao, S.: 2d gaussian splatting for geometrically accurate radiance fields. In: ACM SIGGRAPH 2024 Conference Papers, pp. 1\u201311 (2024)","DOI":"10.1145\/3641519.3657428"},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Huang, Y.H., Sun, Y.T., Yang, Z., Lyu, X., Cao, Y.P., Qi, X.: Sc-gs: sparse-controlled gaussian splatting for editable dynamic scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4220\u20134230 (2024)","DOI":"10.1109\/CVPR52733.2024.00404"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Jin, I.H., Mun, H., Kim, J., Yun, K., Kong, K.: Moe-gs: Mixture of experts for dynamic gaussian splatting, arXiv preprint arXiv:2510.19210 (2025)","DOI":"10.1109\/TPAMI.2026.3712736"},{"key":"13_CR14","doi-asserted-by":"publisher","unstructured":"Katsumata, K., Vo, D.M., Nakayama, H.: A compact dynamic 3d gaussian representation for real-time dynamic view synthesis. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds.) ECCV 2024. LNCS, vol. 15144. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-73016-0_23","DOI":"10.1007\/978-3-031-73016-0_23"},{"issue":"4","key":"13_CR15","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3592433","volume":"42","author":"B Kerbl","year":"2023","unstructured":"Kerbl, B., Kopanas, G., Leimk\u00fchler, T., Drettakis, G., et al.: 3d gaussian splatting for real-time radiance field rendering. ACM Trans. Graph. 42(4), 139\u20131 (2023)","journal-title":"ACM Trans. Graph."},{"key":"13_CR16","doi-asserted-by":"publisher","unstructured":"Kratimenos, A., Lei, J., Daniilidis, K.: Dynmf: neural motion factorization for real-time dynamic view synthesis with 3d gaussian splatting. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds.) ECCV 2024. LNCS, vol. 15144. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-73016-0_23","DOI":"10.1007\/978-3-031-73016-0_23"},{"key":"13_CR17","doi-asserted-by":"publisher","first-page":"5384","DOI":"10.52202\/079017-0174","volume":"37","author":"J Lee","year":"2024","unstructured":"Lee, J., Won, C., Jung, H., Bae, I., Jeon, H.G.: Fully explicit dynamic gaussian splatting. Adv. Neural. Inf. Process. Syst. 37, 5384\u20135409 (2024)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Li, H., Li, S., Gao, X., Batuer, A., Yu, L., Liao, Y.: Gifstream: 4d gaussian-based immersive video with feature stream. In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 21761\u201321770 (2025)","DOI":"10.1109\/CVPR52734.2025.02027"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Li, T., et al.: Neural 3d video synthesis from multi-view video. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5521\u20135531 (2022)","DOI":"10.1109\/CVPR52688.2022.00544"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Li, Z., Chen, Z., Li, Z., Xu, Y.: Spacetime gaussian feature splatting for real-time dynamic view synthesis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8508\u20138520 (2024)","DOI":"10.1109\/CVPR52733.2024.00813"},{"key":"13_CR21","doi-asserted-by":"publisher","first-page":"21377","DOI":"10.52202\/079017-0674","volume":"37","author":"Z Li","year":"2024","unstructured":"Li, Z., Chen, Y., Liu, P.: Dreammesh4d: video-to-4d generation with sparse-controlled gaussian-mesh hybrid representation. Adv. Neural. Inf. Process. Syst. 37, 21377\u201321400 (2024)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"13_CR22","unstructured":"Liu, B., Banerjee, S.: Swings: sliding window gaussian splatting for volumetric video streaming with arbitrary length, arXiv preprint arXiv:2409.07759 (2024)"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Lu, T., Yu, M., Xu, L., Xiangli, Y., Wang, L., Lin, D., Dai, B.: Scaffold-gs: structured 3d gaussians for view-adaptive rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20654\u201320664 (2024)","DOI":"10.1109\/CVPR52733.2024.01952"},{"key":"13_CR24","doi-asserted-by":"crossref","unstructured":"Lu, Z., et al.: 3d geometry-aware deformable gaussian splatting for dynamic view synthesis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8900\u20138910 (2024)","DOI":"10.1109\/CVPR52733.2024.00850"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Luiten, J., Kopanas, G., Leibe, B., Ramanan, D.: Dynamic 3d gaussians: tracking by persistent dynamic view synthesis. In: 2024 International Conference on 3D Vision (3DV), pp. 800\u2013809. IEEE (2024)","DOI":"10.1109\/3DV62453.2024.00044"},{"key":"13_CR26","doi-asserted-by":"crossref","unstructured":"Park, J., Bui, M.Q.V., Bello, J.L.G., Moon, J., Oh, J., Kim, M.: Splinegs: robust motion-adaptive spline for real-time dynamic 3d gaussians from monocular video. In: Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 26866\u201326875 (2025)","DOI":"10.1109\/CVPR52734.2025.02502"},{"key":"13_CR27","doi-asserted-by":"publisher","unstructured":"Shaw, R., Nazarczuk, M., Song, J., Moreau, A., Catley-Chandar, S., Dhamo, H., P\u00e9rez-Pellitero, E.: Swings: sliding windows for dynamic 3d gaussian splatting. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (ed.s) ECCV 2024. LNCS, vol. 15113. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-73001-6_3","DOI":"10.1007\/978-3-031-73001-6_3"},{"issue":"5","key":"13_CR28","doi-asserted-by":"publisher","first-page":"2732","DOI":"10.1109\/TVCG.2023.3247082","volume":"29","author":"L Song","year":"2023","unstructured":"Song, L., et al.: Nerfplayer: a streamable dynamic scene representation with decomposed neural radiance fields. IEEE Trans. Visual Comput. Graphics 29(5), 2732\u20132742 (2023)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"13_CR29","doi-asserted-by":"crossref","unstructured":"Wang, F., Tan, S., Li, X., Tian, Z., Song, Y., Liu, H.: Mixed neural voxels for fast multi-view video synthesis. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 19706\u201319716 (2023)","DOI":"10.1109\/ICCV51070.2023.01805"},{"key":"13_CR30","doi-asserted-by":"crossref","unstructured":"Wang, Q., et al.: Shape of motion: 4d reconstruction from a single video. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9660\u20139672 (2025)","DOI":"10.1109\/ICCV51701.2025.00901"},{"key":"13_CR31","doi-asserted-by":"crossref","unstructured":"Wang, Y., et al.: Freetimegs: free gaussian primitives at anytime anywhere for dynamic scene reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 21750\u201321760 (2025)","DOI":"10.1109\/CVPR52734.2025.02026"},{"key":"13_CR32","doi-asserted-by":"crossref","unstructured":"Wu, G., et al.: 4d gaussian splatting for real-time dynamic scene rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20310\u201320320 (2024)","DOI":"10.1109\/CVPR52733.2024.01920"},{"key":"13_CR33","doi-asserted-by":"crossref","unstructured":"Wu, J., et al.: Localdygs: multi-view global dynamic scene modeling via adaptive local implicit feature decoupling. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9519\u20139529 (2025)","DOI":"10.1109\/ICCV51701.2025.00888"},{"key":"13_CR34","unstructured":"Wu, J., et al.: Swift4d: adaptive divide-and-conquer gaussian splatting for compact and efficient reconstruction of dynamic scene. arXiv preprint arXiv:2503.12307 (2025)"},{"key":"13_CR35","doi-asserted-by":"publisher","unstructured":"Yan, Y., et al.: Street gaussians: modeling dynamic urban scenes with gaussian splatting. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) ECCV 2024. LNCS, vol. 15131. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-73464-9_10","DOI":"10.1007\/978-3-031-73464-9_10"},{"key":"13_CR36","unstructured":"Yang, Z., Yang, H., Pan, Z., Zhang, L.: Real-time photorealistic dynamic scene representation and rendering with 4d gaussian splatting. arXiv preprint arXiv:2310.10642 (2023)"},{"key":"13_CR37","doi-asserted-by":"crossref","unstructured":"Yang, Z., Gao, X., Zhou, W., Jiao, S., Zhang, Y., Jin, X.: Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction. In: Proceedings of the IEEE\/CVF Conference on computer vision and pattern recognition, pp. 20331\u201320341 (2024)","DOI":"10.1109\/CVPR52733.2024.01922"},{"key":"13_CR38","unstructured":"Yoon, J., Han, S., Oh, J., Lee, M.: Splinegs: learning smooth trajectories in gaussian splatting for dynamic scene reconstruction. In: The Thirteenth International Conference on Learning Representations (2025)"},{"key":"13_CR39","doi-asserted-by":"crossref","unstructured":"Yu, Z., Chen, A., Huang, B., Sattler, T., Geiger, A.: Mip-splatting: alias-free 3d gaussian splatting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 19447\u201319456 (2024)","DOI":"10.1109\/CVPR52733.2024.01839"},{"key":"13_CR40","doi-asserted-by":"publisher","first-page":"101790","DOI":"10.52202\/079017-3229","volume":"37","author":"R Zhu","year":"2024","unstructured":"Zhu, R.: Motiongs: exploring explicit motion guidance for deformable 3d gaussian splatting. Adv. Neural. Inf. Process. Syst. 37, 101790\u2013101817 (2024)","journal-title":"Adv. Neural. Inf. Process. Syst."}],"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\/978-3-032-37595-7_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T06:35:29Z","timestamp":1788935729000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-37595-7_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032375940","9783032375957"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-37595-7_13","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":"10 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"}}]}}