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.

翻译：变换器自首次引入以来就得到了极大的关注,并具有广泛的应用。变换器开始接管所有深层学习领域,而“愿景变换器”纸也证明它们可以用于计算机的视觉任务。 在本文中,我们使用了基于视觉变换器的定制模型 — — 高压到图像 — — 来将图像转换为图像。在自我关注的帮助下,我们的变换器能够集思广益,在没有单一修改的情况下应用到不同的问题中。