Impersonator++

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis, including human motion imitation, appearance transfer, and novel view synthesis. Currently the paper is under review of IEEE TPAMI. It is an extension of our previous ICCV project impersonator, and it has a more powerful ability in generalization and produces higher-resolution results (512 x 512, 1024 x 1024) than the previous ICCV version.

[paper] [website] [Dataset] [bilibili] [forum]

Update News

12/06/2020, iPERCore-0.1, all the base codes. The motion imitation scripts.

See the details of developing logs.

Installation

See more details, including system dependencies, python requirements and setups in install.md. Please follows the instructions in install.md to install this firstly.

Run demos

1. run on Google Colab

2. run with Console (scripts) mode

See scripts_runner for more details.

3. run with GUI mode

TODO

Citation

@misc{liu2020liquid,
      title={Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis}, 
      author={Wen Liu and Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma and Shenghua Gao},
      year={2020},
      eprint={2011.09055},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@InProceedings{lwb2019,
    title={Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis},
    author={Wen Liu and Zhixin Piao, Min Jie, Wenhan Luo, Lin Ma and Shenghua Gao},
    booktitle={The IEEE International Conference on Computer Vision (ICCV)},
    year={2019}
}

ShieldQiQi/iPERCore