Video-Driven Graph Network-Based Simulators

[Submitted on 10 Sep 2024]

View a PDF of the paper titled Video-Driven Graph Network-Based Simulators, by Franciszek Szewczyk and 2 other authors

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Abstract:Lifelike visualizations in design, cinematography, and gaming rely on precise physics simulations, typically requiring extensive computational resources and detailed physical input. This paper presents a method that can infer a system’s physical properties from a short video, eliminating the need for explicit parameter input, provided it is close to the training condition. The learned representation is then used within a Graph Network-based Simulator to emulate the trajectories of physical systems. We demonstrate that the video-derived encodings effectively capture the physical properties of the system and showcase a linear dependence between some of the encodings and the system’s motion.