" Training your image restoration network better with random weight network as optimization function " Supplementary Material

Section 0.1 provides the quantitative results for pan-sharpening. Section 0.2 provides the qualitative experimental results. Section 0.3 provides more provides more quantitative experimental results over ablation studies. In our work, the default initialization strategy is Kaiming initialization. All of the loss networks are implemented by convolution network as default.