Example Concept: Diffusion models improve image quality by using a reverse process of adding noise to images, which is then systematically reduced. This iterative refinement allows the model to focus on enhancing details and textures, resulting in more realistic and visually appealing images. The process is akin to a gradual denoising, where each step moves the image closer to a high-quality output.