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 / organization | AntonioJun |
|---|---|
| Downloads | 209 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 June 2026 |
| Last updated at source | 19 June 2026 |
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