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.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.IEEE Transactions on Image Processing, 26(7):3142–3155
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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.