Episode Details

What actually happens when an AI upscales a blurry image? This episode breaks down the key distinction between simple interpolation and learned super-resolution, exploring how models like Real-ESRGAN, GFPGAN, and CodeFormer work under the hood. We cover why every upscaled image involves "hallucinating" plausible detail, the brick wall failure mode, and what marketers need to know about the hallucination budget when salvaging old collateral.