How AI Turns Noise into Realistic Images

追加: 2026-06-06

[00:00:00]This is how an AI turns pure random noise into a real image. The usual explanation is that it slowly removes the noise.

[00:00:08]True, but almost empty as an explanation. Here is what actually happens. At every step, the model asks one question, which way should I nudge this to look a little more like real data?

[00:00:19]That direction has a name, the score. It points toward where real images live and away from the noise. The network learns it everywhere, then follows it step by step. Structure is not erased out of the static. It is guided out one small step at a time. The full derivation from the ground up is in the related videos.