2020
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
ICLR 2020poster
Convolutional Neural Networks (CNNs) have emerged as highly successful tools for image generation, recovery, and restoration. A major contributing factor to this success is that convolutional networks impose strong prior assumptions about natural images. A surprising experiment that highlights this…