Didrpg2emtl_comp.rar

The architecture uses recurrence to reuse parameters across different stages of the de-raining process, which reduces the model size while improving its ability to handle complex rain patterns.

Based on common distribution formats for this project, the DIDRPG2EMTL_comp.rar (or similar "comp" archives) typically contains: DIDRPG2EMTL_comp.rar

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 The architecture uses recurrence to reuse parameters across

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. DIDRPG2EMTL_comp.rar