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.
2024 greater bay area (huangpu) international algorithm competition: Low-dose ct denoising challenge dataset.https : / / iacc
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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.