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 with a residual encoder-decoder convolutional neural net- work.IEEE Transactions on Medical Imaging, 36(12):2524– 2535, 2017
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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.