Dept. of Electrical and Computer Engineering, Technical University of Munich; Dept. of Electrical and Computer Engineering, University of Southern California
theory for deep learning;convolutional network;deep image prior;deep decoder;dynamics of gradient descent;overparameterization
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators