i-DEQ adds momentum to DEQ fixed-point iterations, yielding convergence guarantees, training stability, and halved inference time while matching state-of-the-art reconstruction quality on inverse problems.
MoDL: Model-based deep learning architecture for inverse problems.IEEE transactions on Medical Imaging, 38(2):394–405, 2019
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i-DEQ: A stable inertial deep equilibrium model for image restoration
i-DEQ adds momentum to DEQ fixed-point iterations, yielding convergence guarantees, training stability, and halved inference time while matching state-of-the-art reconstruction quality on inverse problems.