Diffusion model

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 resembling the target data. These models are particularly beneficial for researchers and developers working on high-quality image synthesis, inpainting, and super-resolution.

Diffusion model was discovered on June 6th 2023 and it currently has a search volume of 33.1K with a growth of +1567%.