
Generating High-Resolution Images from Low-Quality Inputs
One of the impressive feats of AI in image generation is its ability to take low-resolution, pixelated images and upscale them into high-quality, detailed visuals. This process is often referred to as image super-resolution or AI upscaling. Tools like Gigapixel AI use deep learning to analyze the existing pixels and intelligently predict and add missing details, resulting in sharper, more defined images. This is particularly valuable in fields like photography, where old or low-resolution images need restoration, or in e-commerce, where product images need to look polished and professional. Video game developers also use this technology to remaster classic games by enhancing textures and graphical details without the need for re-rendering.