Groups
Category
Classifier-Free Guidance (CFG) steers diffusion sampling toward a condition (like a text prompt) without needing a separate classifier.
Score-based diffusion models corrupt data by gradually adding Gaussian noise and then learn to reverse this process by estimating the score, the gradient of the log-density.