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UniMotion

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation

arXiv Project Page

Official repository for the ECCV 2026 paper "UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation".

Ziyi Wang*, Xinshun Wang*, Shuang Chen*, Yang Cong, and Mengyuan Liu#

News

  • 2026-06: UniMotion is accepted by ECCV 2026.
  • The full source code, model checkpoints, data preparation scripts, and inference/training instructions are expected to be released within one month.

Overview

UniMotion is a unified framework for motion-text-vision understanding, generation, and editing. It supports tri-modal any-to-any tasks across motion, text, and visual inputs.

UniMotion teaser

Method

UniMotion architecture

Visualizations

Motion VAE joint heatmap

More examples are available on the project page.

Citation

If you find this work useful, please consider citing:

@inproceedings{wang2026unimotion,
  title     = {UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation},
  author    = {Wang, Ziyi and Wang, Xinshun and Chen, Shuang and Cong, Yang and Liu, Mengyuan},
  booktitle = {European Conference on Computer Vision},
  year      = {2026}
}

Contact

For questions, please contact the authors through the project page or open an issue in this repository.

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