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Unsupervised Learning
A Compositional Object-Based Approach to Learning Physical Dynamics
We present the Neural Physics Engine (NPE), a framework for learning simulators of intuitive physics that naturally generalize across variable object count and different scene configurations. We propose a factorization of a physical scene into …
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