Meta's New Framework VideoJAM: Enhancing AI Video Models' Motion and Physical Abilities

In the field of video generation, despite significant progress in recent years, existing generative models still struggle to accurately capture complex motion, dynamics, and physical phenomena. This limitation primarily stems from traditional pixel reconstruction objectives, which often favor enhancing visual realism while neglecting motion consistency. To address this issue, Meta's research team has introduced a new framework called VideoJAM, which aims to inject effective learning of joint appearance-motion representations into video generation models.