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Added faceshifter
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README.md

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For more information, please consult [our updated paper](https://arxiv.org/abs/1901.08971).
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## Server Status
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After a power outage, our EU servers are up again. Unfortunately, we are still have some issues with the Canadian server (CA). Please use the EU hosts (EU, EU2) for now until we resolve the issue and remove this message.
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## What is new
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-__[FaceShifter](https://lingzhili.com/FaceShifterPage/):__
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We are including the two-stage FaceShifter face swapping method that has been published in CVPR2020. It is able to generate high fidelity identity preserving face swap results and, in comparison to our previous methods, deal with facial occlusions using a second synthesis stage consisting of a Heuristic Error Acknowledging Refinement Network (HEAR-Net). All 1000 original videos of the original youtube based dataset have been manipulated. Please check them out on [their project page](https://lingzhili.com/FaceShifterPage/) for more information! See its [dataset page](dataset/FaceShifter/README.md) for updated numbers as well as an example video.
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If you want to access the new data and have already applied for our download script, simply reuse the original download link to get the updated script. Otherwise, please fill out [this google form](https://docs.google.com/forms/d/e/1FAIpQLSdRRR3L5zAv6tQ_CKxmK4W96tAab_pfBu2EKAgQbeDVhmXagg/viewform) and, once accepted, we will send you the link to our download script.
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<p align="center">
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<img width="460" height="300" src="images/DDD_samples.gif">
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</p>
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[![youtubev_video](https://img.youtube.com/vi/x2g48Q2I2ZQ/0.jpg)](https://www.youtube.com/watch?v=x2g48Q2I2ZQ)
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## Changelog
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15.07.2020: Added FaceShifter
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23.09.2019: Added sample videos as well as the Deep Fake Detection Dataset
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30.08.2019: Paper got accepted to ICCV 2019! Updated the download script to include NeuralTextures and changed instructions

dataset/FaceShifter/README.md

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# FaceShifter Manipulation
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All original videos have been manipulated by the authors and shared with us. If you have any questions about the creation process, please visit the [project page](https://lingzhili.com/FaceShifterPage/) of the authors and check out their paper.
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## Example video
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![example video](../../images/faceshifter.gif)
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# Detection accuracies
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Below you can see an updated table 4 of our paper's appendix when trained on the FaceShifter videos with the same settings.
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![table4_updated](../../images/table4_faceshifter.png)

images/faceshifter.gif

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images/table4_faceshifter.png

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