Torch implementation for Learning Symmetry Consistent Deep CNNs for Face Completion
(New)Pytorch Version can be found here.
+ Please note that there are some different implementations between torch and pytorch version.
+ Please refer to pytorch version (https://github.com/csxmli2016/SymmFCNet_pytorch).Overview of our SymmFCNet. Red, green and blue lines represent the pixel-wise correspondence between the input and the flip image.
- Red: missing pixels (input) to non-occluded pixels (flip);
- Green: missing pixels (input) to missing pixels (flip);
- Blue: remaining pixels (input) to remaining pixels (flip).
Download the pre-trained model with the following url and put it into ./checkpoints/.
th test.lua| Type | Input | Results | Ground-Truth |
|---|---|---|---|
| Regular Mask |
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| Irregular Mask |
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| Real Occlusion |
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@article{li2018learning,
title={Learning Symmetry Consistent Deep CNNs for Face Completion},
author={Li, Xiaoming and Liu, Ming and Zhu, Jieru and Zuo, Wangmeng and Wang, Meng and Hu, Guosheng and Zhang, Lei},
journal={arXiv preprint arXiv:1812.07741},
year={2018}
}