AI RESEARCH
Beyond Fixed Inference: Quantitative Flow Matching for Adaptive Image Denoising
arXiv CS.CV
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ArXi:2604.02392v1 Announce Type: new Diffusion and flow-based generative models have shown strong potential for image restoration. However, image denoising under unknown and varying noise conditions remains challenging, because the learned vector fields may become inconsistent across different noise levels, leading to degraded restoration quality under mismatch between