← Search

Michael T. McCann

2 accepted papers

2023

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models

CVPR 2023poster

Diffusion models have emerged as the new state-of-the-art generative model with high quality samples, with intriguing properties such as mode coverage and high flexibility. They have also been shown to be effective inverse problem solvers, acting as the prior of the distribution, while the informati…

2022

Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC)

ICASSP 2022accepted

We present a method for supervised learning of sparsity-promoting regularizers, which are a key ingredient in many modern signal reconstruction approaches. The parameters of the regularizer are learned to minimize the mean squared error of reconstruction on a training set of ground truth signal and…

Cited by 0SourceScholar