ScanRefer Dataset
Before we are able to offer you access to the database, please agree to the following terms of use.
After approval, you (the "Researcher") receive permission to use the ScanRefer database (the "Database") at the Technical University of Munich. In exchange for being able to join the ScanRefer community and receive such permission, Researcher hereby agrees to the following terms and conditions:
 
1. Researcher shall use the Database only for non-commercial research and educational purposes.
2. The Technical University of Munich and its contributors make no representations or warranties regarding the Database, including but not limited to warranties of non-infringement or fitness for a particular purpose.
3. Researcher accepts full responsibility for his or her use of the Database and shall defend and indemnify the Technical University of Munich and its contributors, including their employees, Trustees, officers and agents, against any and all claims arising from Researcher's use of the Database, including but not limited to Researcher's use of any copies of copyrighted Images, Videos, and 3D models that he or she may create from the Database.
4. Researcher may provide research associates and colleagues with access to the Database provided that they first agree to be bound by these terms and conditions.
5. The Technical University of Munich and its contributors reserves the right to terminate Researcher's access to the Database at any time.
6. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer.
7. The law of Germany or the law of the contributors’ states of incorporation shall apply to all disputes under this agreement.

If you use the ScanRefer dataset, please kindly cite our work and the original ScanNet paper:

@misc{chen2019scanrefer,
    title={ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language},
    author={Dave Zhenyu Chen and Angel X. Chang and Matthias Nießner},
    year={2019},
    eprint={1912.08830},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

@inproceedings{dai2017scannet,
    title={Scannet: Richly-annotated 3d reconstructions of indoor scenes},
    author={Dai, Angela and Chang, Angel X and Savva, Manolis and Halber, Maciej and Funkhouser, Thomas and Nie{\ss}ner, Matthias},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    pages={5828--5839},
    year={2017}
}

After your request has been approved, we will send you the download link to our dataset. If you have any questions, please contact us under scanrefer@googlegroups.com.
Sign in to Google to save your progress. Learn more
Email *
Name *
Lab/Department/Affiliation *
Principal Investigator/Advisor's Name *
Principal Investigator/Advisor's Email *
Research purpose/project description *
Agree to the ScanRefer terms of use *
Required
Submit
Clear form
Never submit passwords through Google Forms.
This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy