AI RESEARCH
TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization
arXiv CS.CV
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ArXi:2603.08096v1 Announce Type: new Localizing objects and parts from natural language in 3D space is essential for robotics, AR, and embodied AI, yet existing methods face a trade-off between the accuracy and geometric consistency of per-scene optimization and the efficiency of feed-forward inference. We present TrianguLang, a feed-forward framework for 3D localization that requires no camera calibration at inference. Unlike prior methods that treat views independently, we