FAST-DIP integrates input-adaptive sequential DIP with fractional-gradient sparsity regularization on z-direction gradients and provides an alternating minimization algorithm with convergence guarantees for improved 3D CT reconstruction.
A bayesian perspec- tive on the deep image prior
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Fractional-gradient Sparsity with Autoencoding Sequential Deep Image Prior for 3D CT Reconstruction
FAST-DIP integrates input-adaptive sequential DIP with fractional-gradient sparsity regularization on z-direction gradients and provides an alternating minimization algorithm with convergence guarantees for improved 3D CT reconstruction.