RelativeFlow reformulates flow matching into relative noisier-to-noisy mappings via consistent transport and simulation-based velocity fields to outperform prior methods on CT and MR denoising with noisy references.
Low-dose ct image denoising using a generative adversarial network with wasserstein distance and perceptual loss.IEEE Transactions on Medical Imaging, 37(6):1348–1357, 2018
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RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference
RelativeFlow reformulates flow matching into relative noisier-to-noisy mappings via consistent transport and simulation-based velocity fields to outperform prior methods on CT and MR denoising with noisy references.