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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…
eess.IV2022★ 1 cited
SINCO: A Novel structural regularizer for image compression using implicit neural representations
Harry Gao, Weijie Gan, Zhixin Sun +1
Implicit neural representations (INR) have been recently proposed as deep learning (DL) based solutions for image compression. An image can be compressed by training an INR model w…