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Achieve state-of-the-art image restoration by routing inputs through a dynamically-selected mixture of experts, guided by a spherical embedding of degradation type.
By encoding physical priors into a graph transformer, PhysGraph achieves superior bimanual manipulation with half the parameters and zero-shot generalization to new tools, suggesting learned physics can be replaced with structured inductive biases.
