PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF

arXiv:2311.13099v2 Announce Type: replace-cross
Abstract: We show that physics-based simulations can be seamlessly integrated with NeRF to generate high-quality elastodynamics of real-world objects. Unlike existing methods, we discretize nonlinear hyperelasticity in a meshless way, obviating the necessity for intermediate auxiliary shape proxies like a tetrahedral mesh or voxel grid. A quadratic generalized moving least square (Q-GMLS) is employed to capture nonlinear dynamics and large deformation on the implicit model. Such meshless integration enables versatile simulations of complex and codimensional shapes. …

arxiv cs.ai cs.cv cs.gr cs.lg interactive nerf physics type