MatAnyone
Official Gradio demo for MatAnyone: Stable Video Matting with Consistent Memory Propagation.
๐ฅ MatAnyone is a practical human video matting framework supporting target assignment ๐ฏ.
๐ช Try to drop your video/image, assign the target masks with a few clicks, and get the the matting results ๐คก!
Note: Due to the online GPU memory constraints, any input with too big resolution will be resized to 1080p.
๐ If you encounter any issue (e.g., frozen video output) or wish to run on higher resolution inputs, please consider duplicating this space or
launching the demo locally following the GitHub instructions.
Step1: Upload video
Step2: Add masks (Several clicks then Add Mask
one by one)
Examples
Step1: Upload image
Step2: Add masks (Several clicks then Add Mask
one by one)
Examples
If MatAnyone is helpful, please help to ๐ the Github Repo. Thanks!
๐ Citation
If our work is useful for your research, please consider citing:
@InProceedings{yang2025matanyone,
title = {{MatAnyone}: Stable Video Matting with Consistent Memory Propagation},
author = {Yang, Peiqing and Zhou, Shangchen and Zhao, Jixin and Tao, Qingyi and Loy, Chen Change},
booktitle = {arXiv preprint arXiv:2501.14677},
year = {2025}
}
๐ License
This project is licensed under S-Lab License 1.0.
Redistribution and use for non-commercial purposes should follow this license.
๐ง Contact
If you have any questions, please feel free to reach me out at peiqingyang99@outlook.com.
๐ Acknowledgement
This project is built upon Cutie, with the interactive demo adapted from ProPainter, leveraging segmentation capabilities from Segment Anything. Thanks for their awesome works!