Summary:
- This article discusses a new machine learning model called "Diffusion Probabilistic Models" (DPMs) that can generate high-quality images from text descriptions.
- DPMs work by gradually adding noise to an image until it becomes completely random, and then learning to reverse this process to generate new images from scratch.
- The researchers show that DPMs can outperform previous state-of-the-art image generation models in terms of image quality and diversity, making them a promising new approach for tasks like image editing and content creation.