This phenomenon is especially prominent in high-noise settings.

Then we propose a platform, coined Geom3D, which enables benchmarking the effectiveness of geometric strategies.

CAF introduces acceleration as an additional learnable variable, allowing for more expressive and accurate estimation of the ODE flow.

However, learned PDE solvers based on Lagrangian particle discretizations, which are the preferred approach to problems with free surfaces or complex physics, remain largely unexplored.

We study recovering fluid density and velocity from sparse multiview videos.

Many dynamical systems have a nonneg-ligible level of stochasticity introduced by various factors (e.g.