这篇论文系统梳理了基于扩散模型的 以人为中心的内容生成（Human-Centric Content Generation） 技术。作者将其定义为：以人类的面部、身体及其行为为核心主体的内容创作过程。这不仅要求视觉上的高保真度，更涉及身份保持、精细控制、时空一致性等多个维度的极高要求。

不久前，NVIDIA研究员Jim Fan提出一个很有代表性的判断：AI正在经历第二次预训练范式转移。第一次是next word prediction，第二次则是world modeling，也就是“预测下一个物理状态”。在这个视角下，模型学习的不再只是token与token的接续关系，而是世界在给定条件和动作之后，会如何继续演化。

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