Diverse Video

Diverse video research focuses on developing methods to generate, manipulate, and understand videos with varied content and styles, addressing limitations in existing models' ability to handle complex, real-world scenarios. Current efforts leverage diffusion models and implicit neural representations, often incorporating multi-modal (text, audio, visual) information and employing techniques like in-context learning and graph-based abstractions to improve generation quality, efficiency, and robustness. This work is significant for advancing video generation, editing, and understanding capabilities, with applications ranging from video retargeting and compression to more sophisticated tasks like robotic control guided by video demonstrations.