Figure A3.

Prediction Quality for Simulation data. The top row indicates the ground truth, wherein we feed 4 frames as context (from $t=0$ to $t=3$) and predict the next 16 frames (from $t=4$ to $t=19$). This is a high-resolution dataset (128 × 128) which we generated using a Lattice Boltzmann Solver. It simulates the von Kármán vortex street using Navier–Stokes equations. A fluid (with pre-specified viscosity) flows through a 2D plane interacting with a circular obstacle placed at the center-left. This leads to the formation of a repeating pattern of swirling vortices, caused by a process known as vortex shedding, which is responsible for the unsteady separation of the flow of a fluid around blunt bodies. Colors indicate the vorticity of the solution to the simulation.