"H3-World: Turning Language Understanding into World Control" by Danze Chen , Zeqing Wang , Ziyue Lin , Xingyi Yang , Yeying Jin
TLDR:
The text introduces H3-World, a framework that transforms the MiniMax-H3 video generator into an interactive model by utilizing language as a control interface. This approach enables precise control of character behavior and camera motion using natural language instructions without requiring additional action modules. H3-World represents actions as structured combinations of instructions aligned with video latents and incorporates temporal attention routing to ensure precise control. By leveraging previously learned semantic representations and requiring minimal adaptation, this framework achieves effective control with limited data and parameters, demonstrating its capability to generalize to new scenarios while maintaining generation quality. Overall, the study highlights that language can efficiently drive interactive world control in advanced video generators like MiniMax-H3.
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1September 3, 2026 78 1
