论文标题
视频游戏超级分辨率的深度学习技术
Deep Learning Techniques for Super-Resolution in Video Games
论文作者
论文摘要
视频游戏图形的计算成本正在增加，用于处理图形的硬件正在努力跟上。这意味着计算机科学家需要开发创新的新方法来提高图形处理硬件的性能。视频超分辨率的深度学习技术可以使视频游戏具有高质量的图形，同时抵消了许多计算成本。这些新兴技术使消费者能够改善视频游戏的性能和享受，并有可能成为游戏开发行业的标准。
The computational cost of video game graphics is increasing and hardware for processing graphics is struggling to keep up. This means that computer scientists need to develop creative new ways to improve the performance of graphical processing hardware. Deep learning techniques for video super-resolution can enable video games to have high quality graphics whilst offsetting much of the computational cost. These emerging technologies allow consumers to have improved performance and enjoyment from video games and have the potential to become standard within the game development industry.
