Inferring Dynamic Physical Properties from Video Foundation Models

ArXi:2510.02311v2 Announce Type: replace-cross We study the task of predicting dynamic physical properties from videos. specifically, we consider physical properties that require temporal information to be inferred: elasticity of a bouncing object, viscosity of a flowing liquid, and dynamic friction of an object sliding on a surface. To this end, we make the following contributions: (i) We collect a new video dataset for each physical property, consisting of synthetic