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

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 08/10/2026, 02:18:25 UTC.

Briefings

Mobile-4DGS is a unified framework for real-time 3D and 4D Gaussian Splatting on mobile devices. It introduces a Monte Carlo Specular Energy Aggregator to compress high-order radiance residuals into first-order Spherical Harmonics, along with an Attribute-Conditioned SH Enhancement module. The system uses a Multi-View Alpha-Based Densification and Pruning strategy to reduce redundant primitives while maintaining multi-view consistency. For dynamic scenes, it employs a compact explicit 4D representation with second-order Gaussian motion and a binary static-dynamic partition, avoiding runtime deformation networks. Experiments show it substantially reduces storage and rendering overhead while maintaining competitive visual quality.

Key points

• Mobile-4DGS introduces a Monte Carlo Specular Energy Aggregator that compresses high-order radiance residuals into first-order Spherical Harmonics for compact appearance modeling.
• The framework uses a Multi-View Alpha-Based Densification and Pruning strategy to suppress redundant primitives while maintaining multi-view consistency during playback.

Context

This research addresses the challenge of deploying both static and dynamic Gaussian representations on resource-constrained mobile devices, which remains challenging due to heavy storage, redundant primitives, and costly per-frame computation. The project provides a unified lightweight framework enabling high-fidelity real-time rendering.

Limitations

The evidence covers static and dynamic scenes but does not specify the exact hardware constraints or user testing conditions. Results are based on extensive experiments rather than long-term deployment data, and the specific mobile device models used for testing are not detailed.

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