Video Matting via Consistency-Regularized Graph Neural Networks

Overview

Video Matting via Consistency-Regularized Graph Neural Networks

Project Page | Real Data | Paper

Installation

Our code has been tested on Python 3.7, cuda 10.1 and PyTorch 1.4.0.

pip install -r requirements.txt
# install dcn
cd models/archs/dcn
python setup.py develop

Inference

Run the following command to do inference of CRGNN on the video matting dataset:

python test.py

Data

  1. Please see the real data in the above link.
  2. Please contact Tiantian Wang ([email protected]) if you need composited data.

Citation

If you find this work or code useful for your research, please cite:

@inproceedings{wang2021crgnn,
  title={Video Matting via Consistency-Regularized Graph Neural Networks},
  author={Wang, Tiantian and Liu, Sifei and Tian, Yapeng and Li, Kai and Yang, Ming-Hsuan},
  booktitle={Proc. IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021}
}

Permission and Disclaimer

This code is only for non-commercial purposes. As covered by the ADOBE IMAGE DATASET LICENSE AGREEMENT, the trained models included in this repository can only be used/distributed for non-commercial purposes. Anyone who violates this rule will be at his/her own risk.

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Comments
  • A misplacement in the dataset

    A misplacement in the dataset

    Hi, thanks for releasing the dataset of real videos. It helps a lot in my research.

    However I found a probable misplacement in the dataset: production ID_4098957/frame00111.png image (The left is foreground, and the right is alpha) It happens in alpha and trimap directories, and others seem correct.

    I would appreciate it if you could fix it :)

    opened by csvt32745 0
  • About the dataset

    About the dataset

    Thanks for your greate work! Will the dataset or the code be released? And would you mind sharing the way you annotated the real-world matting dataset?

    opened by ShanglinLi 0
Owner
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