The core feature of Upscayl is its implementation of the Real-ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks) model.
How it works: Unlike traditional upscaling methods (like Bicubic or Nearest Neighbor) which simply stretch pixels and result in blurriness, Real-ESRGAN is a machine-learning model trained on massive datasets of images. It predicts and generates new pixel data to fill in the gaps when an image is enlarged.
Why it matters for creators:
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