Pre Trained Diffusion

Pre-trained diffusion models are revolutionizing image and video generation, offering powerful generative priors for various tasks including super-resolution, inpainting, and even 360° panoramic scene creation. Current research focuses on improving efficiency, such as developing one-step diffusion networks and optimizing sampling patterns, and enhancing controllability by fine-tuning initial noise distributions or leveraging language models for guidance. These advancements are significantly impacting fields like medical imaging (MRI reconstruction) and computer vision, enabling faster and higher-quality image generation and manipulation with improved alignment to user inputs.