Building interactive worlds that respond coherently to player actions has long been a shared goal of computer graphics, games, and artificial intelligence. Recent video generative models provide a data-driven route toward this goal by predicting future observations conditioned on user actions, and are increasingly rega...
Zhen Li, Zian Meng, Shuwei Shi et al.· arXiv.org· 2 citations
The new version of AlayaWorld substantially revise how conditioning signals are represented and integrated into the model, replacing the previous depth-warping-based spatial memory with a streaming 3D point-cache renderer.
AlayaWorld Team Kaipeng Zhang, Chuan-Hao Li, Yi-Fan Zhan et al.· 5 citations· ⚡2
AlayaWorld enables open-ended real-time interaction, allowing users to freely navigate and perform diverse actions such as combat, spell casting, and monster summoning, and the framework unifies the complete development-from data preparation model architecture, model training, inference acceleration, and deployment-wit...
AlayaWorld Team, Kaipeng Zhang, Chuanhao Li et al.· arXiv.org· 1 citation
This work explicitly model the evolving world state, delegate exact geometric computation to a fixed, zero-parameter renderer, and leave the neural model to synthesize appearance, establishing two properties of Marionette, a world model for interactive games with articulated characters that is directly controllable.
Zian Meng, Zhen Li, Chuan-Hao Li et al.· 3 citations
AlayaWorld is presented, an interactive long-horizon video world model that generates 24-fps video at 540p and 720p and introduces a discrete autoregressive distillation formulation that combines distribution-matching distillation, self-forcing++, and consistency distillation, reducing inference from approximately 30 s...
AlayaWorld Team Kaipeng Zhang, Chuanhao Li, Y. Zhan et al.· arXiv.org· 4 citations
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