+A **Diffusion Model** is a type of [Generative AI](/wiki/generative_ai) that learns to create data by reversing a gradual noise corruption process. It incrementally transforms random noise into coherent images or other data forms, often leveraging [Neural Networks](/wiki/neural_networks) to guide this artistic rebirth. These models excel at synthesizing diverse and high-fidelity content.
+## See also
+- [Machine Learning](/wiki/machine_learning)
+- [Deep Learning](/wiki/deep_learning)
+- [Image Generation](/wiki/image_generation)
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