  Transformers gain huge attention since they are first introduced and have a
wide range of applications. Transformers start to take over all areas of deep
learning and the Vision transformers paper also proved that they can be used
for computer vision tasks. In this paper, we utilized a vision
transformer-based custom-designed model, tensor-to-image, for the image to
image translation. With the help of self-attention, our model was able to
generalize and apply to different problems without a single modification.
