Settings for hyperparameters and directory paths used during the "comp" (computation/comparison) phase of the research. Performance and Impact

The DID-RPG approach is notable for achieving a high and Structural Similarity Index (SSIM) compared to older methods like DDN (Deep Detail Network). It effectively preserves the background textures while removing both heavy and light rain streaks.

The network focuses on learning the "rain residual" (the difference between the rainy image and the clean background), making the training process more stable and effective. Content of the .rar File

Code to run the de-rainer on the provided sample "Rain200L" or "Rain200H" datasets.

Instead of attempting to remove all rain in a single step, the model decomposes the rain layer into multiple stages. It progressively removes rain streaks by grouping them based on their physical characteristics.