In this work, we address an important problem of optical see through (OST) augmented reality: non-negative image synthesis. Most of the image generation methods fail under this condition, since they assume full control over each pixel and cannot create darker pixels by adding light. In order to solve the non-negative image generation problem in AR image synthesis, prior works have attempted to utilize optical illusion to simulate human vision but fail to preserve lightness constancy well under situations such as high dynamic range. In our paper, we instead propose a method that is able to preserve lightness constancy at a local level, thus capturing high frequency details. Compared with existing work, our method shows strong performance in image-to-image translation tasks, particularly in scenarios such as large scale images, high resolution images, and high dynamic range image transfer.

翻译：在这项工作中,我们解决了光学透视(OST)增强现实的重要问题:非负面图像合成。大多数图像生成方法在此条件下都失败,因为它们完全控制了每个像素,无法通过增加光来创造更暗的像素。为了解决AR图像合成中非负面图像生成问题,先前的工程试图利用光学幻觉模拟人类视觉,但在高动态范围的情况下却未能保持光的耐力。在我们的文件里,我们提出了一种方法,能够在地方一级保持光静态,从而捕捉高频细节。与现有工作相比,我们的方法显示,在图像到图像转换任务方面表现非常出色,特别是在大型图像、高分辨率图像和高动态范围图像传输等情形中。