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.

本文综述了近年来发展的图像翻译技术，重点阐述了该领域的关键技术和取得的进展，以及其在计算机视觉和图像处理领域的应用和对社会的影响，指出相关领域仍存在的挑战。

图像到图像的翻译：方法和应用

Image-to-Image Translation: Methods and Applications

As a promising paradigm to reduce both capital and operating expenditures,
the cloud radio access network (C-RAN) has been shown to provide high spectral
efficiency and energy efficiency. Motivated by its significant theoretical
performance gains and potential advantages, C-RANs have been advocated by both
the industry and research community. This paper comprehensively surveys the
recent advances of C-RANs, including system architectures, key techniques, and
open issues. The system architectures with different functional splits and the
corresponding characteristics are comprehensively summarized and discussed. The
state-of-the-art key techniques in C-RANs are classified as: the fronthaul
compression, large-scale collaborative processing, and channel estimation in
the physical layer; and the radio resource allocation and optimization in the
upper layer. Additionally, given the extensiveness of the research area, open
issues and challenges are presented to spur future investigations, in which the
involvement of edge cache, big data mining, social-aware device-to-device,
cognitive radio, software defined network, and physical layer security for
C-RANs are discussed, and the progress of testbed development and trial test
are introduced as well.

本文全面综述了云无线接入网络（C-RANs）的最近进展，包括系统架构、关键技术和开放问题，其中各种功能分离的系统架构及其相应的特性得到了综合总结和讨论，C-RAN 中的关键技术包括前端压缩、大规模协作处理、物理层的信道估计、无线资源分配与优化等，同时，本文还提出了包括边缘缓存、大数据挖掘、社交感知设备对设备、认知无线电、软件定义网络和物理层安全等在内的开放问题和挑战以及实验测试的进展。