Generative Status Estimation and Information Decoupling for Image Rain Removal - Supplementary Material - Di Lin

The feature masking contains two convolutional layers. It computes the rain (or object) feature map. We use Adam solver to optimize the parameters of SEIDNet. The performances are reported on the test set of Rain100H. We report the results in Table 1 (also see Table 1 of the main paper).