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Language instructions now directly control real-time, high-fidelity 360掳 video generation, enabling fluid interactive exploration from a single panorama.
AlayaVista is presented, a camera-controllable streaming video world model that decouples panoramic world evolution from perspective observation synthesis, and MUGEN, a large-scale real-world panoramic video dataset containing 1,318 hours of videos at resolutions of at least 4K, together with rich semantic and geometric annotations.
Conditioning signals now match generated content more closely, leading to unprecedented realism in long-horizon video generation.
Revisiting the same locations across time in Sekai2 enables the learning of persistent scene representations, a game-changer for interactive world modeling.
AlayaWorld achieves unprecedented long-horizon video generation with just four sampling steps, revolutionizing how we create interactive virtual environments.
Interactive game worlds can now leverage a scalable data engine that captures 90 hours of gameplay, setting a new standard for state-aware modeling.
AlayaWorld transforms game development by enabling real-time, interactive world generation that adapts to user actions without the need for extensive manual design.
