Phase-aware video generation for physics-grounded dynamics and interactions
PAVG generates physically plausible videos of solid-gas dynamics by explicitly modeling distinct phase behaviors using a dual-branch architecture. It lifts images to phase-specific 3D points and predicts future trajectories, learning physical motion priors from data rather than simulating physics online. This allows for controllable video generation that captures complex interactions between solids and gases.