Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration 事件

Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration arXiv:2606.06278v1 Announce Type: new Abstract: Blind image restoration requires recovering clean images from observations corrupted by unknown and potentially mixed degradations. While recent deterministic flow-based methods model restoration as transport processes that map degraded images to clean ones, they typically rely on Euclidean interpolation, implicitly assuming linear degradation geometry. In this