{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T18:45:39Z","timestamp":1776969939678,"version":"3.51.4"},"reference-count":16,"publisher":"Association for Computing Machinery (ACM)","issue":"1","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["GetMobile: Mobile Comp. and Comm."],"published-print":{"date-parts":[[2026,4,23]]},"abstract":"<jats:p>As Gaussian Splatting (GS) is increasingly integrated into products and production pipelines across industry, organizations and researchers have begun developing standardization practices to formally accommodate this emerging technology. Originally regarded primarily as a 3D rendering technique for novel view synthesis, 3DGS can be applied more broadly to represent a wide range of 3D computer graphics content. However, as GS is a relatively recent technology, much of its development remains at an experimental stage, resulting in a sparse standardization landscape. As 3D modeling becomes increasingly comprehensive and the applications and implementations of GS rapidly diversify, many organizations have recognized the need for standardization, introducing new formats such as SPZ or adapting GS to existing 3D asset standards like glTF. In this article, we review the initial standardization efforts led by organizations such as Metaverse Standards Forum, Niantic, Khronos, and MPEG, which aim to unify baseline testing conditions, performance metrics, and development practices for GS. We begin by outlining the implementation and evolution of GS, highlighting how it advances beyond previous 3D scene representation approaches. We then provide an overview of emerging splatting standards. Finally, we conclude by discussing future research directions for GS and examining its current and potential applications.<\/jats:p>","DOI":"10.1145\/3810919.3810920","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T18:15:45Z","timestamp":1776968145000},"page":"5-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Emerging Standards for Gaussian Splatting in 3D Content Representation: An Overview"],"prefix":"10.1145","volume":"30","author":[{"given":"Anthony","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiwen","family":"Mao","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhu","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Electrical Engineering, University of Missouri-Kansas City, Kansas City, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,23]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dajour.2023.100165"},{"key":"e_1_2_1_2_1","unstructured":"P. Cozzi and A. Medvedev. Jan. 2025. Gaussian splatting: Ready for standardization? Industry Town Hall\/Metaverse Standards Forum [online] https:\/\/metaverse-standards.org\/event\/gaussiansplats- ready-for-standardization\/"},{"key":"e_1_2_1_3_1","unstructured":"A. Masood. Gaussian primitive-based scene representations for real-time neural rendering. Medium [online] https:\/\/medium.com\/@ adnanmasood\/gaussian-primitive-based-scenerepresentations- for-real-time-neural-renderinga1c9cbe01ca0"},{"key":"e_1_2_1_4_1","unstructured":"Niantic Scaniverse. Feb. 2025. Creating splats with your phone: Which app should you choose? Scaniverse. [online] https:\/\/scaniverse.com\/news\/ creating-splats-which-app-to-choose."},{"key":"e_1_2_1_5_1","unstructured":"ISO. Oct. 2025. Common test conditions for Gaussian splat coding. Document ISO\/IEC JTC 1\/SC 29\/WG 04 N0751 Explorations."},{"key":"e_1_2_1_6_1","volume-title":"Proceedings of the 17th International Conference on Quality of Multimedia Experience (QoMEX)","author":"Martin P.","unstructured":"P. Martin, A. Rodrigues, J. Ascenso and M. P. Queluz. Sept.\/Oct. 2025. GS-QA: Comprehensive quality assessment benchmark for Gaussian Splatting view synthesis. Proceedings of the 17th International Conference on Quality of Multimedia Experience (QoMEX), Madrid, Spain, 1--7."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2018.2885981"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/38.310740"},{"key":"e_1_2_1_11_1","unstructured":"C. Lassner Z. Wang W. Morgenstern P. Bandyopadhyay and J. Sobotka. June 2025. Gaussian Splats town hall: Part 3 research insights and interoperability. Metaverse Standards Forum [online]. https:\/\/metaverse-standards.org\/event\/ gaussian-splats-town-hall-part-3\/."},{"key":"e_1_2_1_12_1","unstructured":"Niantic Scaniverse. Oct. 2024. Open-sourcing .SPZ: It\u2019s .JPG for 3D Gaussian Splats. Scaniverse. [online] https:\/\/scaniverse.com\/news\/spz-gaussiansplat- open-source-file-format."},{"key":"e_1_2_1_13_1","unstructured":"T. Belayneh K. Weznel A. Morgan A. Morris and A. Balabanian. Aug. 2025. Khronos OGC and geospatial leaders add 3D Gaussian Splats to the glTF asset standard. The Khronos Group. [online]. https:\/\/www.khronos.org\/blog\/khronosogc- and-geospatial-leaders-add-3d-gaussiansplats- to-the-gltf-asset-standard."},{"key":"e_1_2_1_14_1","doi-asserted-by":"crossref","unstructured":"G. Wu T. Yi J. Fang L. Xie X. Zhang W. Wei W. Liu Q. Tian and X. Wang. July 2024. 4D Gaussian Splatting for real-time dynamic scene rendering. arXiv:2310.08528 [online] https:\/\/arxiv.org\/abs\/2310.08528.","DOI":"10.1109\/CVPR52733.2024.01920"},{"key":"e_1_2_1_15_1","volume-title":"Dreamgaussian: Generative Gaussian Splatting for efficient 3D content creation. arXiv:2309.16653 [online]. https:\/\/arxiv.org\/abs\/ 2309.16653.","author":"Tang J.","year":"2024","unstructured":"J. Tang, J. Ren, H. Zhou, Z. Liu, and G. Zeng. March 2024. Dreamgaussian: Generative Gaussian Splatting for efficient 3D content creation. arXiv:2309.16653 [online]. https:\/\/arxiv.org\/abs\/ 2309.16653."},{"key":"e_1_2_1_16_1","unstructured":"S. Youn S. Lee G. Kim W. Kwon S.-H. Bae and J. Oh. Dec. 2025. Success-GS: Survey of compactness and compression for efficient static and dynamic Gaussian Splatting. arXiv: 2512.07197 [online] https:\/\/www.arxiv.org\/ abs\/2512.07197."}],"container-title":["GetMobile: Mobile Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3810919.3810920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T18:15:52Z","timestamp":1776968152000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3810919.3810920"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,23]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,4,23]]}},"alternative-id":["10.1145\/3810919.3810920"],"URL":"https:\/\/doi.org\/10.1145\/3810919.3810920","relation":{},"ISSN":["2375-0529","2375-0537"],"issn-type":[{"value":"2375-0529","type":"print"},{"value":"2375-0537","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,23]]},"assertion":[{"value":"2026-04-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}