Abstract: Estimating neural radiance fields (NeRFs) from “ideal” images has been extensively studied in the computer vision community. Most approaches assume optimal illumination and slow camera ...

The conversion of polymers between internal and cartesian coordinates is a limiting step in many pipelines, such as molecular dynamics simulations and training of machine learning models. This ...

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 ...