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Computer Science > Graphics

arXiv:2506.02774 (cs)
[Submitted on 3 Jun 2025 (v1), last revised 4 Jun 2025 (this version,
v2)]

Title:Voyager: Real-Time Splatting City-Scale 3D Gaussians on Your
Phone

Authors:Zheng Liu, He Zhu, Xinyang Li, Yirun Wang, Yujiao Shi, Wei Li
, Jingwen Leng, Minyi Guo, Yu Feng
View a PDF of the paper titled Voyager: Real-Time Splatting
City-Scale 3D Gaussians on Your Phone, by Zheng Liu and 8 other
authors
View PDF HTML (experimental)

    Abstract:3D Gaussian Splatting (3DGS) is an emerging technique
    for photorealistic 3D scene rendering. However, rendering
    city-scale 3DGS scenes on mobile devices, e.g., your smartphones,
    remains a significant challenge due to the limited resources on
    mobile devices. A natural solution is to offload computation to
    the cloud; however, naively streaming rendered frames from the
    cloud to the client introduces high latency and requires
    bandwidth far beyond the capacity of current wireless networks.
    In this paper, we propose an effective solution to enable
    city-scale 3DGS rendering on mobile devices. Our key insight is
    that, under normal user motion, the number of newly visible
    Gaussians per second remains roughly constant. Leveraging this,
    we stream only the necessary Gaussians to the client.
    Specifically, on the cloud side, we propose asynchronous
    level-of-detail search to identify the necessary Gaussians for
    the client. On the client side, we accelerate rendering via a
    lookup table-based rasterization. Combined with holistic runtime
    optimizations, our system can deliver low-latency, city-scale
    3DGS rendering on mobile devices. Compared to existing solutions,
    Voyager achieves over 100$\times$ reduction on data transfer and
    up to 8.9$\times$ speedup while retaining comparable rendering
    quality.

Subjects: Graphics (cs.GR)
Cite as:  arXiv:2506.02774 [cs.GR]
          (or arXiv:2506.02774v2 [cs.GR] for this version)
          https://doi.org/10.48550/arXiv.2506.02774
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Yu Feng [view email]
[v1] Tue, 3 Jun 2025 11:50:51 UTC (36,543 KB)
[v2] Wed, 4 Jun 2025 01:40:43 UTC (36,544 KB)
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    View a PDF of the paper titled Voyager: Real-Time Splatting
    City-Scale 3D Gaussians on Your Phone, by Zheng Liu and 8 other
    authors
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