most citedDeep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems

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eess.IV2023★ 1 cited

Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems

Zihao Zou, Jiaming Liu, Brendt Wohlberg +1

There has been significant recent interest in the use of deep learning for regularizing imaging inverse problems. Most work in the area has focused on regularization imposed implic…

eess.IV2022

Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model

Junhao Hu, Shirin Shoushtari, Zihao Zou +3

Deep model-based architectures (DMBAs) are widely used in imaging inverse problems to integrate physical measurement models and learned image priors. Plug-and-play priors (PnP) and…