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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.
KaiNinja, a part-level extension of TRELLIS.2 built on a dual-volume form of its O-Voxel representation, is the first 3D generative model trained on agent-authored part data and finds that whole-object fidelity improves over the same backbone fine-tuned on the same dataset.
Explicitly disentangling world dynamics from view rendering allows MAS to achieve unprecedented scalability and consistency in multiplayer simulations.