Efficient Realistic Image Synthesis

在过去的三十年里，计算机图形学研究创造了提高计算机生成图像的真实感和生成速度的技术。然而，目前还没有一种广泛使用的方法来创造逼真的图像，在实践中创造逼真的图像仍然很困难。该项目旨在开发一种实用的方法，用于逼真的图像创作，以解决图形和感知社区认为突出的视觉效果。该方法旨在是健壮的，相对简单的，并有潜力在未来十年是交互式的。快速生成逼真图像的能力在许多应用程序中都很有用。例如，飞行和驾驶模拟器依赖于逼真的图像，但这些系统的互动性限制了现实的可行性。拟议的工作应扩大这些限制。所提议的方法也有助于为规划和教育产生图像；可以创建图像来帮助可视化重建工作、栖息地变化和城市规划的结果。最后，该方法应该有助于生成用于自动车辆输入的合成图像，其中可以快速且低成本地生成许多不同的场景和大气条件。

Over the last thirty years computer graphics research has created technology that improves both the realism and generation speed of computer-generated images. However, there is no widely used method for creating realistic images, and it remains difficult in practice to create realistic images. This project aims to develop a practical method for realistic image creation that addresses the visual effects believed to be salient by the graphics and perception communities. The method is intended to be robust, relatively simple, and to have the potential to be interactive in the next decade.The ability to rapidly generate realistic images is useful in many applications. For example, flight and driving simulators rely on realistic imagery, but the interactive nature of these systems limits the realism that is feasible. The proposed work should extend these limits. The proposed method would also be useful for generating images for planning and education; images could be created to help visualize the results of reconstruction efforts, habitat change, and urban planning. Finally the method should be useful for generating synthetic images for input to automated vehicles, where many different scenes and atmospheric conditions could be generated rapidly and at low expense.