Diffusion Models
40.5K
Volume
+99X+
Growth
exploding
About the Topic
Diffusion models are a class of generative models used in machine learning for tasks such as image and data generation. They operate by modeling the data generation process as a gradual diffusion, transforming data points from a simple distribution to a complex one. These models are particularly beneficial for generating high-quality images and are used in applications like image synthesis, inpainting, and super-resolution.
Diffusion Models was discovered on August 27th 2022 and it currently has a search volume of 40.5K with a growth of +99X+.
Key Indicators
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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