# Zoo3D: Zero-Shot 3D Object Detection at Scene Level

**Date:** 2026-02-20

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.

## Related link

- [Read the paper](https://arxiv.org/abs/2511.20253)

## Authoritative URLs

- [Canonical news page](https://m3l.am/news/zoo3d-cvpr-2026)
- [All M:3L news and events](https://m3l.am/news.md)
