AI
Atlas: On-Device City-Scale 3D Gaussian Splatting in VR

Authors/institution: He Zhu et al.; affiliations not stated on abstract page. Status: arXiv preprint, submitted 2 September 2026 (72-hour extension). Problem: city-scale 3D scenes exceed mobile GPU memory. Contribution: hierarchical offloading, temporal level-of-detail search and stereo rasterisation. Significance: offline city-scale spatial computing. Limitations: reported 18.5× speed-up and 92.4% energy saving are author-reported; hardware/generalisation details require scrutiny. Paper




