GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention

Abstract

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.

Tasks

Reproductions