Lightweight Image Super-Resolution Based on Re-Parameterization and Self-Calibrated Convolution

Figure 2

The left figure shows the architecture of our proposed reparameterization distillation block (RepDB). The right figure presents the reparameterization convolution (RepConv). Here, the number of input channels and the number of output channels both are set to 2, so a convolution layer has four matrices.