General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution images. Recent deep learning based methods tailored for images achieved improved performance by jointly trained with additional task such as parsing and landmark prediction. However, multi-task requires extra manually labeled data. Besides, most of the existing work...