Diffusion Model
A generative model that gradually removes noise from data to generate new samples.
In more detail
Diffusion models learn to reverse a process that gradually adds noise to data. Powerful for generating realistic images. Examples: DALL-E, Midjourney, Stable Diffusion. Recently dominant in image generation.
Examples
- Image generation (DALL-E, Stable Diffusion)
- Image inpainting
- Video generation
- Audio synthesis
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