Image Diffusion Model

Image diffusion models are generative AI models that create images by gradually removing noise from a random pattern, guided by learned data distributions. Current research focuses on extending these models to video generation and editing, often leveraging pre-trained image models and incorporating techniques like score distillation sampling and novel attention mechanisms to improve temporal consistency and controllability. This rapidly evolving field is significantly impacting various applications, including video synthesis, image restoration, 3D modeling, and personalized image generation, by offering powerful tools for creating high-quality, realistic visual content. The ability to efficiently generate and manipulate images and videos with fine-grained control is driving advancements across numerous scientific and practical domains.