LapisGS: Layered Progressive 3D Gaussian Splatting for Adaptive Streaming

• URL: http://arxiv.org/abs/2408.14823v2
• Date: Mon, 10 Feb 2025 11:59:52 GMT
• Title: LapisGS: Layered Progressive 3D Gaussian Splatting for Adaptive Streaming
• Authors: Yuang Shi, Géraldine Morin, Simone Gasparini, Wei Tsang Ooi,
• Abstract summary: XR requires efficient streaming of 3D online worlds, challenging current 3DGS representations to adapt to bandwidth-constrained environments.<n>This paper proposes LapisGS, a layered 3DGS that supports adaptive streaming and progressive rendering.
• Score: 4.209963145038135
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The rise of Extended Reality (XR) requires efficient streaming of 3D online worlds, challenging current 3DGS representations to adapt to bandwidth-constrained environments. This paper proposes LapisGS, a layered 3DGS that supports adaptive streaming and progressive rendering. Our method constructs a layered structure for cumulative representation, incorporates dynamic opacity optimization to maintain visual fidelity, and utilizes occupancy maps to efficiently manage Gaussian splats. This proposed model offers a progressive representation supporting a continuous rendering quality adapted for bandwidth-aware streaming. Extensive experiments validate the effectiveness of our approach in balancing visual fidelity with the compactness of the model, with up to 50.71% improvement in SSIM, 286.53% improvement in LPIPS with 23% of the original model size, and shows its potential for bandwidth-adapted 3D streaming and rendering applications.

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