Expanding the Use and Scope of AI Diffusion Models

“Classical diffusion models incrementally add small, Gaussian noise (a normal random variable with a small amplitude) to transform the data distribution toward a simple, standard normal distribution. The models then learn functions to specify the incremental changes and ‘denoise’ to transform the standard normal random variable back to one that follows the data distribution,” Ma said.

According to Ma, however, the research team does not require the incremental…