Example Concept: AI upscaling methods, such as ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks), use deep learning to add detail and texture to images, effectively increasing resolution while maintaining or even enhancing the perceived quality. These algorithms predict and generate additional pixels based on learned patterns from high-resolution training data.