Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
Why must vision-language navigation be bound to detailed and verbose language instructions? While such details ease decision-making, they fundamentally contradict the goal for navigation in the real-world. Ideally, agents should possess the autonomy to navigate in unknown environments guided solely by simple and high-level intents. Realizing this ambition introduces a formidable challenge: Beyond-the-View Navigation (BVN), where agents must locate distant, unseen targets without dense and step-by-step guidance. Existing large language model (LLM)-based methods, though adept at following dense instructions, often suffer from short-sighted behaviors due to their reliance on short-horimzon s...
| Authors | Hai Zhang, Siqi Liang, Li Chen et al. |
|---|---|
| Primary category | cs.CV |
| Published | 5 February 2026 |
| Last updated at source | 5 February 2026 |
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- OpenDriveLab/SparseVideoNavDataset · cited by
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- OpenDriveLab/SparseVideoNavDataset
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