Image-to-Image Translation: Methods and Applications
It is a survey paper summarizing existing work for researchers and practitioners in computer vision, making it incremental in nature.
This paper provides an overview of image-to-image translation (I2I) methods and applications, analyzing key techniques and progress in the field without presenting new experimental results.
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.