PyTorch implementation of the AcGANs algorithm in the paper ``Look globally, age locally: Face aging with an attention mechanism.''.
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Python 3.6
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PyTorch 1.3.0
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GPU
Training a model by:
$ python main.py config/morph.yml
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Attention Results
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Results on the Morph Dataset
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Comparison of AcGANs, IPCGANs, and CAAE in the Morph Dataset
Zhu H, Huang Z, Shan H, et al. Look globally, age locally: Face aging with an attention mechanism[J]. arXiv preprint arXiv:1910.12771, 2019.
AcGANs is freely available for free non-commercial use, and may be redistributed under these conditions. For commercial queries, contact Junping Zhang.