A diffusion-based deconvolution method turns HSC ground-based images into HST-like reconstructions and uses a posterior-to-prior variance ratio to flag hallucinated features.
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Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions
A diffusion-based deconvolution method turns HSC ground-based images into HST-like reconstructions and uses a posterior-to-prior variance ratio to flag hallucinated features.