ABSTRACT

In recent years, the model of improved GAN has been widely applied in the field of machine vision. It not only covers the traditional image processing, but also includes image conversion, image synthesis and so on.. Firstly, this paper describes the basic principles and existing problems of GAN, then introduces several improved GAN models, including Info-GAN, DC-GAN, f-GAN, Cat-GAN and others. Secondly, several improved GAN models for different applications in the field of machine vision are described. Finally, the future trend and development of GAN are prospected.

中文翻译：

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生成对抗网络及其在机器视觉中的应用

摘要

近年来，改进的GAN模型在机器视觉领域得到了广泛的应用。它不仅涵盖了传统的图像处理，还包括图像转换、图像合成等。本文首先介绍了GAN的基本原理和存在的问题，然后介绍了几种改进的GAN模型，包括Info-GAN、DC- GAN、f-GAN、Cat-GAN 等。其次，介绍了几种针对机器视觉领域不同应用的改进 GAN 模型。最后对GAN的未来趋势和发展进行了展望。