Single Image Super-Resolution (SISR) is a very active research field. This paper addresses SISR by using a GAN-based approach with dual discriminators and incorporating it with an attention mechanism. The experimental results show that GDCA can generate sharper and high pleasing images compare to other conventional methods.

翻译：单一图像超级分辨率(SISSR)是一个非常活跃的研究领域,本文通过使用基于GAN的双重歧视者方法并将其纳入关注机制来处理SISSR问题。 实验结果表明,GDCA与其他常规方法相比,能够产生更清晰、更令人愉快的图像。