{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T18:15:45Z","timestamp":1786731345295,"version":"3.56.0"},"reference-count":76,"publisher":"Association for Computing Machinery (ACM)","issue":"4","funder":[{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["NERPHYS (101141721)"],"award-info":[{"award-number":["NERPHYS (101141721)"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2025,8,1]]},"abstract":"<jats:p>\n                    Radiance field methods such as 3D Gaussian Splatting (3DGS) allow easy reconstruction from photos, enabling free-viewpoint navigation. Nonetheless, pose estimation using Structure from Motion and 3DGS optimization can still each take between minutes and hours of computation after capture is complete. SLAM methods combined with 3DGS are fast but struggle with wide camera baselines and large scenes. We present an on-the-fly method to produce camera poses and a trained 3DGS\n                    <jats:italic toggle=\"yes\">immediately<\/jats:italic>\n                    after capture. Our method can handle dense and wide-baseline captures of ordered photo sequences and large-scale scenes. To do this, we first introduce fast initial pose estimation, exploiting learned features and a GPU-friendly mini bundle adjustment. We then introduce direct sampling of Gaussian primitive positions and shapes, incrementally spawning primitives where required, significantly accelerating training. These two efficient steps allow fast and robust joint optimization of poses and Gaussian primitives. Our incremental approach handles large-scale scenes by introducing scalable radiance field construction, progressively clustering 3DGS primitives, storing them in anchors, and offloading them from the GPU. Clustered primitives are progressively merged, keeping the required scale of 3DGS at any viewpoint. We evaluate our solution on a variety of datasets and show that it can provide on-the-fly processing of all the capture scenarios and scene sizes we target. At the same time our method remains competitive - in speed, image quality, or both - with other methods that only handle specific capture styles or scene sizes.\n                  <\/jats:p>","DOI":"10.1145\/3730913","type":"journal-article","created":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T04:02:22Z","timestamp":1753588942000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images"],"prefix":"10.1145","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9899-6365","authenticated-orcid":false,"given":"Andreas","family":"Meuleman","sequence":"first","affiliation":[{"name":"INRIA, Universit\u00e9 C\u00f4te d'Azur, Biot, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7104-4578","authenticated-orcid":false,"given":"Ishaan","family":"Shah","sequence":"additional","affiliation":[{"name":"INRIA, Universit\u00e9 C\u00f4te d'Azur, Biot, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5343-2528","authenticated-orcid":false,"given":"Alexandre","family":"Lanvin","sequence":"additional","affiliation":[{"name":"INRIA, Universit\u00e9 C\u00f4te d'Azur, Biot, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5168-8648","authenticated-orcid":false,"given":"Bernhard","family":"Kerbl","sequence":"additional","affiliation":[{"name":"TU Wien, Wien, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9254-4819","authenticated-orcid":false,"given":"George","family":"Drettakis","sequence":"additional","affiliation":[{"name":"INRIA, Universit\u00e9 C\u00f4te d'Azur, Biot, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"e_1_2_2_1_1","unstructured":"Sameer Agarwal Keir Mierle and The Ceres Solver Team. 2023. 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(Proceedings of I3D 2024) (2024)."},{"key":"e_1_2_2_70_1","unstructured":"Linning Xu Yuanbo Xiangli Sida Peng Xingang Pan Nanxuan Zhao Christian Theobalt Bo Dai and Dahua Lin. 2023. Grid-guided Neural Radiance Fields for Large Urban Scenes. In CVPR."},{"key":"e_1_2_2_71_1","unstructured":"Lihe Yang Bingyi Kang Zilong Huang Zhen Zhao Xiaogang Xu Jiashi Feng and Hengshuang Zhao. 2024. Depth Anything V2. In Advances in Neural Information Processing Systems."},{"key":"e_1_2_2_72_1","unstructured":"Zehao Yu Anpei Chen Binbin Huang Torsten Sattler and Andreas Geiger. 2024. Mip-Splatting: Alias-free 3D Gaussian Splatting. In CVPR."},{"key":"e_1_2_2_73_1","unstructured":"Kai Zhang Gernot Riegler Noah Snavely and Vladlen Koltun. 2020. NeRF++: Analyzing and Improving Neural Radiance Fields. arXiv:2010.07492 [cs.CV]"},{"key":"e_1_2_2_74_1","doi-asserted-by":"crossref","unstructured":"Wei Zhang Qing Cheng David Skuddis Niclas Zeller Daniel Cremers and Norbert Haala. 2024. 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