  Image-to-image translation (I2I) aims to transfer images from a source domain
to a target domain while preserving the content representations. I2I has drawn
increasing attention and made tremendous progress in recent years because of
its wide range of applications in many computer vision and image processing
problems, such as image synthesis, segmentation, style transfer, restoration,
and pose estimation. In this paper, we provide an overview of the I2I works
developed in recent years. We will analyze the key techniques of the existing
I2I works and clarify the main progress the community has made. Additionally,
we will elaborate on the effect of I2I on the research and industry community
and point out remaining challenges in related fields.
