AI RESEARCH
Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction
arXiv CS.CV
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ArXi:2605.10629v1 Announce Type: new Recently, diffusion models have attracted considerable attention for magnetic resonance image reconstruction due to their high sample quality. However, most existing methods rely on large networks with opaque time-conditioning mechanisms, and require offline coil sensitivity estimation. This results in limited interpretability of the reconstruction process and reduced flexibility in the acquisition setup.