Image translation is a process in computer vision that involves converting an image from one style or format to another. This can include changing the image's colors, textures, or even the entire scene depicted. For example, a photograph can be transformed into a painting or a sketch, allowing for creative reinterpretation of visual content. This technique is often powered by machine learning algorithms, particularly generative adversarial networks (GANs). These networks learn from large datasets to understand the features of different styles, enabling them to generate new images that maintain the original content while adopting a different appearance.