Meta AI introduces VideoJAM, a novel framework designed to enhance motion coherence in AI-generated videos by integrating motion directly into both training and inference processes. VideoJAM uses a joint appearance-motion representation and an Inner-Guidance mechanism, leading to more consistent and realistic motion. The framework shows significant improvements in motion fidelity, versatility across models, and efficient implementation with minimal architectural changes.
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