Google has proved time and again that it will always be one of the forerunners when it comes to Deep Learning solutions. Recently a team at Google Brain introduced a newer method for Image Super-Resolution. From being just a Science Fiction dream to one of the most researched fields Image Super-Resolution has seen constant growth and innovation over the years especially with the aid of Deep Learning architectures. From the first iterations of SRCNN to SRResNET and then SRGAN that re-established how Super-Resolution was looked at. As a young contributor to the field, I can say that it is if not one of the most interesting problem spaces to work in.