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In this paper, we focus on constructing an accurate super resolution system based on multiple Convolution Neural Networks (CNNs). Each individual CNN is trained separately with different network structure. A Context-wise Network Fusion (CNF) approach is proposed to integrate the outputs of individual networks by additional convolution layers. With fine-tuning the whole fused network, the accuracy is significantly improved compared to the individual networks. We also discuss other network fusiondoi:10.1109/cvprw.2017.142 dblp:conf/cvpr/RenEL17 fatcat:shncx4lihbbz5bo3fg4q7q7z2e