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.

中文翻译：

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图像到图像的转换：方法和应用

图像到图像转换（I2I）的目的是在保留内容表示的同时将图像从源域传输到目标域。由于I2I在许多计算机视觉和图像处理问题中的广泛应用，例如图像合成，分割，样式转换，还原和姿势估计，因此I2I引起了越来越多的关注并取得了巨大进展。在本文中，我们概述了近年来开发的I2I工作。我们将分析现有I2I工作的关键技术，并阐明社区取得的主要进展。此外，我们将详细阐述I2I对研究和行业界的影响，并指出相关领域中尚存的挑战。