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To address the issue of motion consistency in video generation, Meta's GenAI team has proposed a new framework called VideoJAM.
VideoJAM is based on the mainstream DiT approach, but compared to pure DiT models like Sora, it directly enhances dynamic effects:
Even for fast and complex dances with significant changes, the movements look incredibly realistic, and synchronization between two people is preserved:




