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Found 4 papers, 1 papers with code
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
Face video restoration (FVR) is a challenging but important problem where one seeks to recover a perceptually realistic face videos from a low-quality input.
A Structured Pruning Algorithm for Model-based Deep Learning
There is a growing interest in model-based deep learning (MBDL) for solving imaging inverse problems.
Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems
ELDER is based on a regularization functional parameterized by a CNN and a deep equilibrium learning (DEQ) method for training the functional to be MSE-optimal at the fixed points of the reconstruction algorithm.
Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model
Deep model-based architectures (DMBAs) are widely used in imaging inverse problems to integrate physical measurement models and learned image priors.
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