Reviews: Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections

The proposed method is very related to Kim et al.'s work, but the later one is not mentioned at all. At the time of submission, the arXiv version of Kim's paper was already online, which should be cited and discussed. In Kim et al.'s work, the model is with multiple flat convolution layers. The input is connected with the output to form a residual learning. Compared with Kim's model, half of convolutional layers are replaced with de-convolution layers in the proposed model and it has more skip connections between the layers.