WorldMAP bootstraps reliable trajectory prediction in vision-language navigation by converting world-model-generated futures into structured supervision, cutting ADE by 18% and FDE by 42.1% on Target-Bench while making small VLMs competitive with large ones.
A fast marching level set method for monotonically advancing fronts
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OVAL introduces an open-vocabulary memory model with structured descriptors and multi-value frontier scoring to enable efficient lifelong object goal navigation in unseen settings.
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WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models
WorldMAP bootstraps reliable trajectory prediction in vision-language navigation by converting world-model-generated futures into structured supervision, cutting ADE by 18% and FDE by 42.1% on Target-Bench while making small VLMs competitive with large ones.
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OVAL: Open-Vocabulary Augmented Memory Model for Lifelong Object Goal Navigation
OVAL introduces an open-vocabulary memory model with structured descriptors and multi-value frontier scoring to enable efficient lifelong object goal navigation in unseen settings.