Image Super-Resolution

Image Super-Resolution is a machine learning task aimed at increasing the resolution of images to four times or more of the original, while preserving the content and details of the image as much as possible. This technology can generate high-resolution versions of images, which are applicable for improving image quality, enhancing visual details, and increasing the accuracy of computer vision algorithms, among other uses. In the gaming industry, this technique also helps to enhance the clarity and realism of game graphics.