1 code implementation • 29 Jul 2022 • Malte Tölle, Ullrich Köthe, Florian André, Benjamin Meder, Sandy Engelhardt
Manipulation of the latent space leads to a modified image while preserving important details.
1 code implementation • 2 Feb 2022 • Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt
In POTOBIM, we optimize both the parameters of the prior distribution and the posterior temperature with respect to reconstruction accuracy using Bayesian optimization with Gaussian process regression.
no code implementations • 11 Jun 2021 • Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt
Bayesian methods feature useful properties for solving inverse problems, such as tomographic reconstruction.
1 code implementation • 20 Aug 2020 • Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier
We use a randomly initialized convolutional network as parameterization of the reconstructed image and perform gradient descent to match the observation, which is known as deep image prior.