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LangLoc achieves unprecedented accuracy in indoor localization from natural language, closing the gap between coarse scene retrieval and precise pose estimation.
AugSplat boosts reconstruction quality in sparse-view 3D vision by leveraging synthetic views from neural radiance fields, achieving real-time performance without sacrificing accuracy.
Achieving accurate pose estimation with rolling shutter cameras using just seven correspondences could revolutionize real-time applications in consumer devices.
A compact scene graph representation allows for efficient visual localization, slashing storage needs while preserving accuracy in complex environments.
Unlock interactive digital twins from messy, real-world videos: FunRec automatically turns egocentric RGB-D recordings into simulation-ready 3D scenes.
DROID-SLAM achieves robust real-time RGB SLAM in dynamic environments by explicitly modeling per-pixel uncertainty, outperforming existing methods that struggle with unknown dynamic objects and cluttered scenes.