New ‘ambient Diffusion’ Model Generates Images Without Copying Artwork

A team of researchers from the University of Texas at Austin has developed a new framework for training AI models to generate high-quality images from corrupted data sets. The framework has potential applications in various fields, including scientific and medical research. The team’s work has been accepted for the 2024 International Conference of Machine Learning.