Evaluating 3D Reconstruction: A Side-by-Side comparison of  NeRF and Gaussian Splatting under various filming techniques

Evaluating 3D Reconstruction: A Side-by-Side comparison of NeRF and Gaussian Splatting under various filming techniques | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Evaluating 3D Reconstruction: A Side-by-Side comparison of NeRF and Gaussian Splatting under various filming techniques Dimitar Rangelov, Sierd Waanders, Kars Waanders, Evgeni Genchev, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7300179/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study presents a comparative evaluation of Neural Radiance Fields (NeRF)and 3D Gaussian Splatting (3DGS) for 3D reconstruction under various film-ing techniques. High-quality 3D models are essential in a range of applications,from forensic investigations to cultural heritage preservation, architecture, androbotics, where detail accuracy and minimal noise are critical. Leveraging con-tinuous video footage captured with a stabilized full-frame camera setup, thisresearch examines both algorithms across indoor and outdoor environments usingconsistent datasets. Key assessment criteria include reconstruction noise, detailpreservation, and processing time. The results reveal that while both approachesgenerate high-fidelity reconstructions, 3DGS consistently outperforms NeRFin computational efficiency and noise reduction. These insights provide valu-able guidance for selecting suitable reconstruction techniques across differentprofessional domains. 3D Reconstruction Neural Radiance Fields (NeRF) 3D Gaussian Splatting Forensic Imaging Radiance fields Full Text Additional Declarations No competing interests reported. Supplementary Files suplimentary.zip Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7300179","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":499028706,"identity":"2f6477d3-20c9-4c73-b5b5-b70ce564e31b","order_by":0,"name":"Dimitar 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