Weiqi Zhang, Wenyuan Zhang, Yu-Shen Liu, Junsheng Zhou · 2026 · arXiv
DOI: 10.48550/arXiv.2610.28631 · open-access PDF
Les modèles mondiaux actuels pour la simulation explicite du monde suivent généralement deux voies distinctes: (1) les modèles de génération vidéo (par exemple, Sora), qui simulent des apparences réalistes mais ne conservent pas la cohérence 3D; et (2) les modèles de génération 3D (par exemple, Marble), qui génèrent des scènes géométriquement cohérentes mais produisent souvent des observations statiques et moins réalistes.
Machine translation (Meta M2M100); the English original follows.
Current world models for explicit world simulation typically follow two distinct pathways: (1) video generative models (e.g., Sora), which simulate realistic appearances but fail to preserve 3D consistency; and (2) 3D generative models (e.g., Marble), which generate geometrically consistent scenes but often yield static, less realistic observations. We present AEON, a unified framework that bridges video-based and 3D-based world models and combines the benefits of both. The key insight of AEON lies in a generative model that operates within the text- or image-conditioned video latent space whi
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