AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling
Paper • 2605.29488 • Published • 3
You need to agree to share your Hugging Face information to access this dataset
The information you provide will be collected, stored, processed and shared in accordance with the InternData Privacy Policy.
OmniHuMo COMMUNITY LICENSE AGREEMENT
OmniHuMo Release Date: May 31, 2026 All the data within this repo are under CC BY-NC-SA 4.0.
Log in or Sign Up to review the conditions and access this dataset content.
OmniHuMo
Overview
OmniHuMo comprises over 3.2 million high-quality motion-capture sequences — sourced entirely from internet videos — totaling more than 5,000 hours.
Get Started
# Ensure git-lfs is installed (https://git-lfs.com)
git lfs install
# When prompted for a password, use an access token with write permissions.
# Generate one in your settings: https://huggingface.co/settings/tokens
git clone https://huggingface.co/datasets/L-yiheng/OmniHuMo
# To clone without large files (only their pointers)
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/L-yiheng/OmniHuMo
Dataset Processing
Folder Hierarchy
.
|-- README.md
|-- assets
|-- audio.tar.gz.part_aa
|-- audio.tar.gz.part_ab
|-- audio.tar.gz.part_ac
|-- audio.tar.gz.part_ad
|-- audio.tar.gz.part_ae
|-- audio.tar.gz.part_af
|-- audio.tar.gz.part_ag
|-- audio.tar.gz.part_ah
|-- audio.tar.gz.part_ai
|-- audio.tar.gz.part_aj
|-- audio.tar.gz.part_ak
|-- audio.tar.gz.part_al
|-- audio.tar.gz.part_am
|-- audio.tar.gz.part_an
|-- audio.tar.gz.part_ao
|-- audio.tar.gz.part_ap
|-- audio.tar.gz.part_aq
|-- audio.tar.gz.part_ar
|-- audio.tar.gz.part_as
|-- audio.tar.gz.part_at
|-- audio.tar.gz.part_au
|-- audio.tar.gz.part_av
|-- audio.tar.gz.part_aw
|-- audio.tar.gz.part_ax
|-- audio.tar.gz.part_ay
|-- audio.tar.gz.part_az
|-- audio.tar.gz.part_ba
|-- audio.tar.gz.part_bb
|-- audio.tar.gz.part_bc
|-- audio.tar.gz.part_bd
|-- audio.tar.gz.part_be
|-- audio.tar.gz.part_bf
|-- audio.tar.gz.part_bg
|-- audio.tar.gz.part_bh
|-- audio_feat.tar.gz.part_aa
|-- audio_feat.tar.gz.part_ab
|-- audio_feat.tar.gz.part_ac
|-- audio_feat.tar.gz.part_ad
|-- audio_feat.tar.gz.part_ae
|-- audio_feat.tar.gz.part_af
|-- audio_feat.tar.gz.part_ag
|-- audio_feat.tar.gz.part_ah
|-- omnihumo_v0.tar.gz.part_aa
|-- omnihumo_v0.tar.gz.part_ab
|-- omnihumo_v0.tar.gz.part_ac
|-- omnihumo_v0.tar.gz.part_ad
|-- omnihumo_v0.tar.gz.part_ae
|-- omnihumo_v0.tar.gz.part_af
|-- process_code
|-- split.tar.gz
`-- upload.py
Decompression
cat ./audio_feat.tar.gz.part_* | pigz -d -p 64 | tar -xvf -
cat ./audio.tar.gz.part_* | pigz -d -p 64 | tar -xvf -
cat ./omnihumo_v0.tar.gz.part_* | pigz -d -p 64 | tar -xvf -
tar -xzf split.tar.gz
License and Citation
All the data and code within this repo are under CC BY-NC-SA 4.0. Please consider citing our project if it helps your research.
@misc{li2026anymoscalinganymodalityconditional,
title={AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling},
author={Yiheng Li and Zhuo Li and Ruibing Hou and Yingjie Chen and Hong Chang and Hao Liu and Shiguang Shan},
year={2026},
eprint={2605.29488},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2605.29488},
}
- Downloads last month
- 1,933