Summary:
- This article describes a new machine learning technique called "Diffusion Models" that can be used to generate high-quality images from text descriptions.
- Diffusion Models work by gradually adding noise to an image until it becomes completely random, and then learning to reverse this process to generate new images.
- The researchers show that Diffusion Models can outperform other state-of-the-art image generation techniques, and have the potential to be used in a wide range of applications, such as medical imaging and computer-aided design.