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ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos
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ComPhy ComPhy Overview Abstract Example Dataset Paper & Code ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos Authors: Zhenfang Chen Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba Joshua B. Tenenbaum Chuang Gan Abstract Objects’ motions in nature are governed by complex interactions and their properties. While some properties, such as shape and material, can be identified via the object’s visual appearances, others like mass and electric charge are not directly visible. The compositionality between the visible and hidden properties poses unique challenges for AI models to reason from the physical world, whereas humans can effortlessly infer them with limited observations. Existing studies on video reasoning mainly focus on visually observable elements such as object appearance, movement, and contact interaction. In this paper, we take an initial step to highlight the importance of inferring the ...
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