AI RESEARCH
A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens
arXiv CS.CV
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ArXi:2604.04913v1 Announce Type: new Anticipating diverse future states is a central challenge in video world modeling. Discriminative world models produce a deterministic prediction that implicitly averages over possible futures, while existing generative world models remain computationally expensive. Recent work nstrates that predicting the future in the feature space of a vision foundation model (VFM), rather than a latent space optimized for pixel reconstruction, requires significantly fewer world model parameters. However, most such approaches remain discriminative. In this work, we