R2 · Landmark Papers, Rebuilt
Denoising Diffusion (2020)
Follow a picture into noise and back, and say what the network is trained to predict.
For six years, the leading way to make sharp images was to set two networks against each other. One forged, the other judged. It worked, and it was famously unsteady. Training could collapse, and nobody could tell in advance.