Recent CNN-based methods for image deraining have achieved excellent performance in terms of reconstruction error as well visual quality. However, these are limited the sense that they can be trained only on fully labeled data. Due to various challenges obtaining real world fully-labeled datasets, existing synthetically generated data and hence, generalize poorly real-world images. The use trai...