Showing eess.IVShow all
2 papers · 1 filter
eess.IV2026
A Stability Benchmark of Generative Regularizers for Inverse Problems
Alexander Denker, Johannes Hertrich, Sebastian Neumayer
Generative (diffusion) priors demonstrate remarkable performance in addressing inverse problems in imaging. Yet, for scientific and medical imaging, it is crucial that reconstructi…
eess.IV2025
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems. The library covers all crucial steps in image reconstruction from the efficient implementa…