IR-Flow uses rectified flow to build linear transport between degraded and clean images via multilevel flows and cumulative velocity fields, enabling competitive restoration quality with only a few sampling steps.
Fully 1 × 1 convolutional network for lightweight image super- resolution.Machine Intelligence Research, 21(6):1062–1076
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IR-Flow: Bridging Discriminative and Generative Image Restoration via Rectified Flow
IR-Flow uses rectified flow to build linear transport between degraded and clean images via multilevel flows and cumulative velocity fields, enabling competitive restoration quality with only a few sampling steps.