multi3drefer-mirror

# Multi3DRefer Dataset This repository contains the Multi3DRefer dataset, introduced in [Multi3DRefer: Grounding Text Description to Multiple 3D Objects](https://3dlg-hcvc.github.io/multi3drefer/). [](https://github.com/3dlg-hcvc/multi3drefer) [](https://pypi.org/project/torchmetrics-ext/) [](https://arxiv.org/abs/2309.05251) ## Dataset Attributes **scene_id: (str)** the scene identifier as defined in [ScanNetv2](http://www.scan-net.org/). \ **object_name: (str)** the name of the target object(s). \ **ann_id: (int)** the local annotation ID within a scene. \ **description: (str)** the language description of the target object(s) in the scene. \ **object_ids: (List[int])** the target object ID(s) as defined in [ScanNetv2](http://www.scan-net.org/). \ **eval_type: (str)** the evaluation type of the data, possible values: "zt" (zero target), "mt" (multiple targets), "st_w_d" (single target with distractors) and "st_wo_d" (single target without distractors). \ **spatial: (bool)** indicates if the description mentions spatial information about the target object(s). \ **color: (bool)** indicates if the description mentions the color of the target object(s). \ **texture: (bool)** indicates if the description mentions texture information about the target object(s). \ **shape: (bool)** indicates if the description mentions shape information about the target object(s). ## Citation ```bibtex @inproceedings{zhang2023multi3drefer, author={Zhang, Yiming and Gong, ZeMing and Chang, Angel X}, title={Multi3DRefer: Grounding Text Description to Multiple 3D Objects}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month={October}, year={2023}, pages={15225-15236} } ```