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eess.IV2024
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training
Edward P. Chandler, Shirin Shoushtari, Jiaming Liu +2
Plug-and-Play Priors (PnP) is a well-known class of methods for solving inverse problems in computational imaging. PnP methods combine physical forward models with learned prior mo…
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…