论文标题
多种生成的对抗网络分析，用于预测摄影师的修饰
Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouching
论文作者
论文摘要
任何人都可以拍照，但并不是每个人都有能力修饰照片并获得专业成绩。由于不可能要求专家修饰数千张照片，因此我们考虑了教一件软件如何重现这些专家的工作。这项研究旨在探索使用深度学习方法，更具体地说是生成的对抗网络（GAN）的可能性，以模仿艺术家的修饰，并找到哪种研究模型可提供最佳结果。
Anyone can take a photo, but not everybody has the ability to retouch their pictures and obtain result close to professional. Since it is not possible to ask experts to retouch thousands of pictures, we thought about teaching a piece of software how to reproduce the work of those said experts. This study aims to explore the possibility to use deep learning methods and more specifically, generative adversarial networks (GANs), to mimic artists' retouching and find which one of the studied models provides the best results.
