Mobile-4DGS: Unified Static-Dynamic Real-time Mobile Gaussian Splatting

Hugging Face Daily Papers Papers

Summary

Mobile-4DGS 提出了一个统一的轻量级框架,在资源受限的移动设备上实现高保真、实时的静态与动态高斯溅射渲染。该方法通过压缩外观建模、多视角致密化与剪枝,以及紧凑的显式4D表示(含静态-动态划分与深度顺序复用),显著降低了存储和渲染开销,同时保持了有竞争力的视觉质量。

Recent advances in 3D Gaussian Splatting (3DGS) have achieved remarkable performance in novel view synthesis, yet deploying both static and dynamic Gaussian representations on resource-constrained mobile devices remains challenging due to heavy storage, redundant primitives, and costly per-frame computation. We present Mobile-4DGS, a unified lightweight framework for high-fidelity real-time static and dynamic Gaussian rendering on mobile platforms. For compact appearance modeling, we introduce a Monte Carlo Specular Energy Aggregator that compresses high-order radiance residuals into the first-order Spherical Harmonics (SH), together with an Attribute-Conditioned SH Enhancement module whose predicted offsets are pre-baked before inference. We further propose a Multi-View Alpha-Based Densification and Pruning strategy to suppress redundant primitives while maintaining multi-view consistency. For dynamic scenes, we develop a compact explicit 4D representation by constructing second-order Gaussian motion, learnable temporal support, and a binary static-dynamic partition, enabling continuous-time modeling without runtime deformation networks. Based on this partition, a Depth-Order Certificate selectively reuses previously committed depth orders to reduce re-projection, sorting, merging, and index-buffer updates during playback. Extensive experiments on static and dynamic scenes demonstrate that Mobile-4DGS substantially reduces storage and rendering overhead while maintaining competitive visual quality, enabling real-time 3D and 4D Gaussian Splatting on mobile devices. magenta{https://xiaobiaodu.github.io/mobile-4dgs-project/{Code has been released: https://xiaobiaodu.github.io/mobile-4dgs-project/}}.
Original Article

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