VivaWorld: Long-Horizon Video World Model with Compositional 3D Priors

Long-horizon video generation is key to interactive world modeling, physical intelligence, and spatial reasoning, yet maintaining geometric consistency and accurate camera control remains challenging without 3D grounding. We introduce VivaWorld, a framework for generating geometry- and view-consistent long videos from a single image. We first construct a compositional hybrid 3D representation that combines reconstructed point clouds, which preserve observed scene geometry and appearance, with generated textured meshes, which provide complete object geometry across novel views. We also introduce a connected-region filter that removes inconsistent floating components for robust cross-view reconstruction and propose a hybrid camera embedding that combines global and object-anchored Plucker rays to capture both scene-level camera motion and camera-object relationships, and inject it together with the visual guidance into a video generation model via a control adapter. Extensive experiments show that VivaWorld achieves state-of-the-art visual quality and camera control, while supporting controllable novel-view synthesis, long-horizon scene exploration, and physical AI.