Sparse adaptive voxel structures with transformers can predict volumetric material properties 16× more efficiently than fixed-grid approaches, enabling high-fidelity physics simulation of complex 3D objects.
AdaVoMP predicts physical material properties (stiffness, elasticity, density) for 3D objects at high resolution. Instead of using fixed voxel grids, it uses a sparse adaptive structure with a transformer model, achieving 16× higher resolution than previous methods while using less computation. This makes 3D assets ready for realistic physics simulations.