Diffusion Pipeline

Diffusion pipelines are a class of generative models increasingly used for high-quality image, video, and 3D scene synthesis. Current research focuses on improving efficiency and scalability, particularly for high-resolution outputs, through architectural innovations like hierarchical patch processing and adaptive computation. These advancements are enabling real-time applications and addressing limitations in data requirements, such as through few-shot learning techniques and the adaptation of existing 2D models to 3D domains. The resulting improvements in speed, quality, and adaptability have significant implications for various fields, including computer graphics, video production, and potentially even copyright protection technologies.