2016
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
NeurIPS 2016poster
In this paper, we propose a very deep fully convolutional encoding-decoding framework for image restoration such as denoising and super-resolution. The network is composed of multiple layers of convolution and deconvolution operators, learning end-to-end mappings from corrupted images to the origina…