{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T21:57:25Z","timestamp":1788731845382,"version":"build-2803163510"},"reference-count":46,"publisher":"Association for Computing Machinery (ACM)","issue":"8","license":[{"start":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T00:00:00Z","timestamp":1784592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"crossref","award":["LZ24F020001"],"award-info":[{"award-number":["LZ24F020001"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62576178"],"award-info":[{"award-number":["62576178"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Opening Foundation of the Tongxiang Institute of General Artificial Intelligence","award":["TAGI2-B-2024-0009"],"award-info":[{"award-number":["TAGI2-B-2024-0009"]}]},{"name":"State Key Laboratory of Advanced Medical Materials and Devices","award":["SQ2022SKL01089-2025-14"],"award-info":[{"award-number":["SQ2022SKL01089-2025-14"]}]},{"name":"AGH University of Krakow, the ARTIQ project","award":["UMO-2021\/01\/2\/ST6\/00004 and ARTIQ\/0004\/2021"],"award-info":[{"award-number":["UMO-2021\/01\/2\/ST6\/00004 and ARTIQ\/0004\/2021"]}]},{"name":"Polish Ministry of Science and Higher Education funds"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2026,8,31]]},"abstract":"<jats:p>\n                    Text-driven 3D scene editing has attracted considerable interest due to its convenience and user-friendliness. However, methods that rely on implicit 3D representations, such as Neural Radiance Fields (NeRF), while effective in rendering complex scenes, are hindered by slow processing speeds and limited control over specific regions of the scene. Moreover, existing approaches, including Instruct-NeRF2NeRF and GaussianEditor, which utilize multi-view editing strategies, frequently produce inconsistent results across different views when executing text instructions. This inconsistency can adversely affect the overall performance of the model, complicating the task of balancing the consistency of editing results with editing efficiency. To address these challenges, we propose a novel method termed Single-View to 3D Object Editing via Gaussian Splatting (SVGS), which is a single-view text-driven editing technique based on 3D Gaussian Splatting (3DGS). Specifically, in response to text instructions, we introduce a single-view editing strategy grounded in multi-view diffusion models, which reconstructs 3D scenes by leveraging only those views that yield consistent editing results. Additionally, we employ sparse 3D Gaussian Splatting as the 3D representation, which significantly enhances editing efficiency. We conducted a comparative analysis of SVGS against existing baseline methods across various scene settings, and the results indicate that SVGS outperforms its counterparts in both editing capability and processing speed, representing a significant advancement in 3D editing technology. For further details, please visit our project page at:\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/amateurc.github.io\/svgs.github.io\/\">https:\/\/amateurc.github.io\/svgs.github.io\/<\/jats:ext-link>\n                    .\n                  <\/jats:p>","DOI":"10.1145\/3803793","type":"journal-article","created":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T08:41:40Z","timestamp":1774687300000},"page":"1-19","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["SVGS: Single-View to 3D Object Editing via Gaussian Splatting"],"prefix":"10.1145","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5681-644X","authenticated-orcid":false,"given":"Pengcheng","family":"Xue","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0596-1209","authenticated-orcid":false,"given":"Yan","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China and Zhejiang Key Laboratory of Big Data and Future E-Commerce Technology, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0473-1032","authenticated-orcid":false,"given":"Qiutao","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6980-4101","authenticated-orcid":false,"given":"Ziyi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5181-8337","authenticated-orcid":false,"given":"Linyang","family":"He","sequence":"additional","affiliation":[{"name":"Jianpei Technology Co., Ltd, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3180-7347","authenticated-orcid":false,"given":"Weiping","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5655-8511","authenticated-orcid":false,"given":"Mahmoud","family":"Hassaballah","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia and Department of Computer Science, Faculty of Computers and Information, Qena University, Qena, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8135-1085","authenticated-orcid":false,"given":"Karen","family":"Egiazarian","sequence":"additional","affiliation":[{"name":"Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6047-3705","authenticated-orcid":false,"given":"Wei-fa","family":"Yang","sequence":"additional","affiliation":[{"name":"Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6960-9525","authenticated-orcid":false,"given":"Leszek","family":"Rutkowski","sequence":"additional","affiliation":[{"name":"Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland, and AGH University of Krakow, Krak\u00f3w, Poland and SAN University, \u0141\u00f3d\u017a, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,21]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02029"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02022"},{"key":"e_1_3_1_5_2","unstructured":"Guillaume Couairon Jakob Verbeek Holger Schwenk and Matthieu Cord. 2022. 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