Video Diffusion Model

Video diffusion models generate videos by iteratively removing noise from random data, guided by text prompts or other conditioning information. Current research focuses on improving temporal consistency, enhancing video quality (especially at high resolutions), and developing efficient algorithms for long video generation and various control mechanisms (e.g., camera control, object manipulation). These advancements are significant for applications in film production, animation, and 3D modeling, offering powerful tools for creating realistic and controllable video content.