Definition
A family of generative models that map a noise vector directly to a data sample, enabling the generation of high-quality images much faster than traditional diffusion models.
In short: A family of generative models that map a noise vector directly to a data sample, enabling the generation of high-quality images much faster than traditional diffusion models.