Reviews: Image Inpainting via Generative Multi-column Convolutional Neural Networks

Summary This submission tackles the problem of image inpainting. It adapts the idea of multi-scale predictions by running three branches that predict features at different scales which are concatenated before two convolutions create the final prediction. The loss consists of three components. The method is evaluated on five diverse datasets and with several ablation studies analyzing the influence of different parts. Strengths - The ablation study shows the contribution of the different components well.