Video Dynamic

Video dynamic research focuses on understanding and manipulating the temporal evolution of visual information in videos. Current efforts concentrate on improving video generation and editing through techniques like diffusion models, neural ordinary differential equations, and attention mechanisms that explicitly model temporal relationships, often incorporating cross-modal information from audio or text. These advancements are driving progress in applications such as video question answering, audio-visual speech recognition, and high-quality video editing, impacting fields ranging from computer vision to media analysis.