Groups
Category
Classifier-Free Guidance (CFG) steers diffusion sampling toward a condition (like a text prompt) without needing a separate classifier.
Diffusion models learn to reverse a simple noising process by estimating the score (the gradient of the log density) of data at different noise levels.