Welcome to the HUMOTO dataset webpage. This page provides access to a 10% subset of the HUMOTO dataset, as introduced in our paper HUMOTO: A 4D Dataset of Mocap Human Object Interactions.
The full HUMOTO dataset contains 735 motion sequences, featuring Mixamo riggings conforming to exisiting over 2000 Mixamo animations at https://www.mixamo.com/. To request access to the complete HUMOTO dataset and inquire for a research license, please fill the following form.
https://forms.office.com/r/3a7jgFi5UH
please research license questions, contact Chun-Hao Huang at chunhaoh@adobe and Yi Zhou at yizho@adobe.com, for commercial license, contacting Christie Shen at christies@adobe.com.
In your email, kindly include:
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Your name and institutional affiliation.
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Whether you are requesting access for research or commercial purposes.
Due to the high volume of requests, we are currently prioritizing license applications submitted on behalf of research labs or groups over individual requests. As a result, individual requests may take longer to process. If you would like to expedite your request, we recommend asking your lab or group leader to contact us directly to request a research license on behalf of your team.
We are actively working on building a more efficient system for processing license requests. In the meantime, all requests are being handled manually. If you have sent an email but have not received a response within one week, it may have been inadvertently missed—please feel free to follow up with another email.
We look forward to supporting your research and applications with HUMOTO.
The following universities and research institutions have obtained a research license for the full HUMOTO dataset. If you are affiliated with any of these institutions, you can request access to the full dataset by contacting the designated person at your institution.
To obtain the contact information of the designated person, please email zhouyisjtu2012@gmail.com, chunhaoh@adobe.com and ubhattac@adobe.com.
Beihang University (BUAA)
Beijing Jiaotong University
Brown University
Carnegie Mellon University
Cornell University
ETH Zurich
Hanyang University
HKUST (Guangzhou)
Hokkaido University
Hong Kong University of Science and Technology
Imperial College London
INSAIT (Sofia University)
IRISA / University of Rennes
Jeonbuk National University
KAIST
Kyung Hee University
Lehigh University
Massachusetts Institute of Technology (MIT)
Mohamed bin Zayed University of AI (MBZUAI)
Munich University of Applied Sciences (HM)
Nara Institute of Science and Technology (NAIST)
National Taiwan University
National University of Singapore
Northeastern University
Peking University
Queen Mary University of London
Rutgers University
Seoul National University
Southeast University
Southern University of Science and Technology (SUSTech)
Stanford University
Sungkyunkwan University (SKKU)
Syracuse University
Technical University of Munich
Tel Aviv University
Texas A&M University
The Chinese University of Hong Kong (CUHK)
The University of Hong Kong (HKU)
The University of Texas at Austin
Tsinghua University
UC Berkeley
UCLA
University of Alberta
University of Amsterdam
University of Chicago
University of Illinois Urbana-Champaign
University of Manchester
University of Maryland, College Park
University of Massachusetts Amherst
University of Moratuwa
University of Oulu
University of Pennsylvania
University of Tübingen
Westlake University
Wuhan University
Xi'an Jiaotong University
Xiamen University
Meta
MERL — Mitsubishi Electric Research Labs
Krafton
Cartwheel
Qihoo 360
LY Corporation
Due to GitHub’s behavior, clicking the Download button may sometimes result in downloading incorrect .zip files instead of the intended files. As an alternative, we recommend downloading the animations directly from the GitHub repository: https://github.com/adobe-research/humoto