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Map2Vid: Embodied Navigation Video Generation with Human-Friendly Motion Control

Dai, Yulin et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Controllable video generation has recently achieved impressive visual quality, yet existing control paradigms remain poorly suited to embodied navigation. Text prompts are spatially ambiguous, while camera-trajectory control relies on low-level motion specifications that are unintuitive for human us
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