Principled MAP estimation for inverse problems: bridging the gap between convergence and performance
This paper designs an algorithm that combines denoisers at decreasing noise levels with a schedule tailored to ensure convergence, and proves that it surpasses convergent methods while competing with state-of-the-art empirical ones.
Alexandre Lagier, Valentine Tosel, Anne Gagneux et al.
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