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Apple Research just unearthed a forgotten AI technique and is using it to generate images
Apple’s latest research hints that a long-forgotten AI technique could have new potential for generating images. Here’s the breakdown.
Normalizing Flows (NFs) are a type of AI model that works by learning how to mathematically transform real-world data (like images) into structured noise, and then reverse that process to generate new samples. But there’s a reason most people haven’t heard much about them lately: Early flow-based models produced images that looked blurry or lacked the detail and diversity offered by diffusion and transformer-based systems. Instead, it basically works on a compressed version of the image, and then hands things off to a decoder that upsamples everything back to full resolution at the final step.
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