Sign inGet started
Dataset · Hugging Face

AntonioJun/indoor-3d-bbox-indices

Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding This repository contains the ScanNet dataset (3D scene data and 2D frame data) and refined annotations used for the paper Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding. TAB is a dynamic agentic framework designed for zero-shot 3D Visual Grounding (3D-VG). By operating directly on raw RGB-D streams, TAB reformulates 3D… See the full description on the dataset page: https://huggingface.co/datasets/AntonioJun/indoor-3d-bbox-indices.

Author / organizationAntonioJun
Downloads209 (as reported by Hugging Face)
Likes0
Created19 June 2026
Last updated at source19 June 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/3ef0fd2d-7979-414e-9879-26c124677920" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 5 days

209 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from AntonioJun

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.