Can curved geometry fix blind image restoration?

Blind image restoration recovers clean images from corrupted inputs without knowing the corruption type. Instead of treating degradation as linear, this work models it on a curved Riemannian manifold and learns geodesic (shortest curved paths) from degraded to clean images. The approach handles mixed degradations naturally and generalizes beyond degradation types seen during training.