Realistic object interactions are crucial for creating immersive virtual
experiences, yet synthesizing realistic 3D object dynamics in response to novel
interactions remains a significant challenge. Unlike unconditional or
text-conditioned dynamics generation, action-conditioned dynamics requires
perceiving the physical material properties of objects and grounding the 3D
motion prediction on these properties, such as object stiffness. However,
estimating physical material properties is an open problem due to the lack of
material ground-truth data, as measuring these properties for real objects is
highly difficult. We present PhysDreamer, a physics-based approach that endows
static 3D objects with interactive dynamics by leveraging the object dynamics
priors learned by video generation models. By distilling these priors,
PhysDreamer enables the synthesis of realistic object responses to novel
interactions, such as external forces or agent manipulations. We demonstrate
our approach on diverse examples of elastic objects and evaluate the realism of
the synthesized interactions through a user study. PhysDreamer takes a step
towards more engaging and realistic virtual experiences by enabling static 3D
objects to dynamically respond to interactive stimuli in a physically plausible
manner. See our project page at this https URL

通过基于物理原理的方法，我们提出了 PhysDreamer，它能够使静态的 3D 对象能够以虚拟实境中真实的方式动态地响应交互刺激，实现了更加引人入胜和逼真的虚拟体验。