Zoo3D: Zero-Shot 3D Object Detection at Scene Level
M:3L co-authored Zoo3D, accepted at CVPR 2026, an A*-ranked conference. The work introduces the first training-free, open-vocabulary 3D object detector: it clusters 2D instance masks across views into class-agnostic 3D boxes, then labels them through best-view selection and view-consensus visual-language matching. Zoo3D supports point clouds as well as posed or unposed RGB images, while its zero-shot and self-supervised variants deliver leading results on ScanNet200 and ARKitScenes.
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