i-PhysGaussian: Implicit Physical Simulation for 3D Gaussian Splatting
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Abstract (arXiv)
Physical simulation predicts future states of objects based on material properties and external loads, enabling blueprints for both Industry and Engineering to conduct risk management. Current 3D reconstruction-based simulators typically rely on explicit, step-wise updates, which are sensitive to step time and suffer from rapid accuracy degradation under complicated scenarios, such as high-stiffness materials or quasi-static movement. To address this, we introduce i-PhysGaussian, a framework that couples 3D Gaussian Splatting (3DGS) with an implicit Material Point Method (MPM) integrator. Unlike explicit methods, our solution obtains an end-of-step state by minimizing a momentum-balance residual through implicit Newton-type optimization with a GMRES solver. This formulation significantly reduces time-step sensitivity and ensures physical consistency. Our results demonstrate that i-PhysGaussian maintains stability at up to 20x larger time steps than explicit baselines, preserving structural coherence and smooth motion even in complex dynamic transitions.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 38 of its 57 references that are in the map. First posted on arXiv 19 Feb 2026.
Builds on
38 of 57 references.
References · 38
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26 more
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Citing papers per year: 2026: 3.
3 papers.