Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators

ICLR 2020 Reinhard HeckelMahdi Soltanolkotabi

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... (read more)

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