Diffusion Model
A diffusion model is a type of AI that generates new images, audio, or video by learning to reverse a process of gradually adding noise to data, effectively 'imagining' the data from scratch.
How it works
It works by first training on a dataset to understand how to systematically destroy data with noise and then learning the precise reverse process to reconstruct it. This makes it exceptionally powerful for creating highly detailed and realistic new content, forming the core technology behind many popular image-generation AI tools.
Examples
- 1.Generating photorealistic images from text descriptions (e.g., 'a cat wearing a hat').
- 2.Creating new artwork or design concepts in specific artistic styles.
- 3.Enhancing or restoring old or low-resolution photos by filling in missing details.