Adaptive Volumetric Mechanical Property Fields Invariant to Resolution

📅 2026-06-16
📈 Citations: 0
Influential: 0
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🤖 AI Summary
Existing 3D assets commonly lack high-fidelity, spatially varying mechanical properties—such as Young’s modulus, Poisson’s ratio, and density—hindering realistic physics-based simulation. To address this limitation, this work proposes AdaVoMP, the first method to leverage Sparse Adaptive Voxels (SAV) representation combined with a sparse Transformer-based autoregressive generative architecture for efficiently modeling high-resolution volumetric mechanical property fields of arbitrary 3D objects. The approach achieves up to a 4096× increase in prediction resolution while maintaining memory efficiency and substantially reducing computational overhead at test time, thereby enabling complex 3D models to be directly employed in high-fidelity deformation simulations.
📝 Abstract
Accurate mechanical properties (or materials) Young's modulus ($E$), Poisson's ratio ($ν$) and density ($ρ$) are essential for reliable physics simulation of digital worlds, but most 3D assets lack this information. We propose AdaVoMP, a method for predicting accurate dense spatially-varying ($E$, $ν$, $ρ$) for input 3D objects across representations, improving the resolution, accuracy, and memory efficiency over the state-of-the-art. The foundation of our technique is a sparse and adaptive voxel structure SAV that efficiently represents both the input 3D shape and the material field output. We replace the fixed-voxel model of the most accurate prior method, VoMP, with a novel sparse transformer encoder-decoder model that learns to generate a unique SAV autoregressively for every input shape to represent its materials, achieving a resolution $16^3\times$ higher than prior art. Experiments show that AdaVoMP estimates more accurate volumetric properties, even with lesser test-time compute than all prior art. This allows us to convert high-resolution complex 3D objects into simulation-ready assets, resulting in realistic deformable simulations.
Problem

Research questions and friction points this paper is trying to address.

mechanical properties
3D assets
physics simulation
volumetric material fields
Young's modulus
Innovation

Methods, ideas, or system contributions that make the work stand out.

AdaVoMP
sparse adaptive voxel
volumetric mechanical properties
spatially-varying material
transformer-based 3D representation
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