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Explicit geometric priors in image restoration can outperform traditional methods while using fewer parameters, challenging the reliance on implicit regularization.
Forget storing full task-specific models – Auto-FlexSwitch compresses the knowledge into tiny, dynamically assembled task vectors, slashing storage costs without sacrificing accuracy.
