Score-based diffusion models for severely ill-posed problems in diffuse optical tomography
It is shown that both the model-based approach and approximate diffusion-based sampling degrade significantly in the presence of limited-view geometry and real experimental data, whereas UCoS yields more accurate reconstructions.
Fabian Schneider, Meghdoot Mozumder, Konstantin Tamarov et al.
· Inverse Problems and Imaging · 1 citation