Real-Time Physics Simulation with Dynamic Mesh-Gaussian Reconstructions

• URL: http://arxiv.org/abs/2606.00444v1
• Date: Sat, 30 May 2026 00:30:11 GMT
• Title: Real-Time Physics Simulation with Dynamic Mesh-Gaussian Reconstructions
• Abstract summary: We propose a dual-representation framework combining fixed-topology meshes for physics with Gaussian splatting for rendering.<n>We evaluate two conversion strategies, temporal correspondence tracking and template-based projection, against native fixed-topology methods (MaGS) on the DG-Mesh dataset.
• Score: 11.523616541218878
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Integrating dynamic 3D reconstructions into physics simulation requires fixed mesh topology for efficient collision detection, but state-of-the-art methods like DG-Mesh produce varying topology optimized for geometric quality. We investigate whether topology conversion can enable physics integration while preserving reconstruction fidelity. We propose a dual-representation framework combining fixed-topology meshes for physics with Gaussian splatting for rendering, achieving 4.65$\times$ speedup over varying-topology baselines through runtime vertex buffer updates. We evaluate two conversion strategies, temporal correspondence tracking and template-based projection, against native fixed-topology methods (MaGS) on the DG-Mesh dataset. Our evaluation reveals that both conversion approaches incur 65-80% geometric degradation, producing results inferior to MaGS despite DG-Mesh's superior initial quality. This demonstrates that high-quality reconstruction and physics-compatible topology represent fundamentally distinct objectives that cannot be reconciled through post-processing. Our findings inform future development of physics-aware reconstruction methods and our framework enables real-time simulation with any fixed-topology approach.

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