Mini toolsDefinition
Generative models mapping noise to data, often enabling faster high-quality generation than diffusion models.
Detailed Explanation
A class of generative models that learn to map data points from noise back to the original data distribution, often achieving high-quality generation faster than traditional diffusion models.
Use Cases
Fast image generation, audio synthesis, potentially video generation, data augmentation, replacing or complementing diffusion models in generative tasks.
