SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
Zhengyuan Li
Kai Cheng
Anindita Ghosh
Uttaran Bhattacharya
Liang-Yan Gui
Aniket Bera
Purdue University, DFKI, MPI-INF,
Adobe Inc., University of Illinois Urbana-Champaign
CVPR 2025
| Motion Similarity | Text-based Motion Editing |
|---|---|
Please follow motionfix to download the dataset and set up the environment.
We provide pretrained model and pre-processed similarity in this link.
Constant setup: set preproc.sim_file to the path of preprocessed similarity file in ./configs/data/motionfix.yaml.
python motionfix_evaluate.py folder=/path/to/exp/ guidance_scale_text_n_motion=2.0 guidance_scale_motion=2.0 data=motionfixpython compute_metrics.py folder=/path/to/exp/samples/npyspython -u train.py --config-name="train_cls_arch" experiment=cls_arch run_id=no_textOur code is based on: motionfix.
This code is distributed under an MIT LICENSE. We also include the LICENSE of motionfix in our repo. Other third-party datasets and software are subject to their respective licenses.
You can cite this paper using:
@article{li2025simmotionedittextbasedhumanmotion,
title={SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction},
author={Zhengyuan Li and Kai Cheng and Anindita Ghosh and Uttaran Bhattacharya and Liangyan Gui and Aniket Bera},
year={2025},
eprint={2503.18211},
archivePrefix={arXiv},
primaryClass={cs.CV}
}