Diffusion priors with reconstruction-guided posterior sampling reconstruct plausible 3D point clouds from sparse 2D projections, coarse densities, and subunits, outperforming maximum likelihood alone.
Diffusion Models Beat GAN s on Image Synthesis
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Diffusion priors for Bayesian 3D reconstruction from incomplete measurements
Diffusion priors with reconstruction-guided posterior sampling reconstruct plausible 3D point clouds from sparse 2D projections, coarse densities, and subunits, outperforming maximum likelihood alone.