155 lines
7.3 KiB
Markdown
155 lines
7.3 KiB
Markdown
# SimSwap++: Towards Faster and High-Quality Identity Swapping
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### [Xuanhong Chen](https://scholar.google.com/citations?user=UuCqlfEAAAAJ&hl=en), [Bingbing Ni](https://scholar.google.com/citations?user=V9W87PYAAAAJ&hl=en) $\dagger$, Yutian Liu, Naiyuan Liu, Linzhi Zeng, Hang Wang
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$\dagger$ Corresponding author
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## Project page of SimSwap++
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## <img width=10% src="./docs/img/attention.gif"/> ***Please note that the current respository is a supplementary material for the SimSwap++ paper, NO issues will be replied at this stage. Once everything is ready we will release training and testing codes like our [SimSwap](https://github.com/neuralchen/SimSwap).***
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[](https://github.com/neuralchen/SimSwapPlus)
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# VGGFace2-HQ Dataset
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VGGFace2-HQ contains more than $1.36M$ $512 \times 512$ aligned
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face images and up to $9, 630$ distinct identities. In addition, this dataset
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consists of two parts:
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- (1) a natural image sub-collection, which collects up to $200, 000$ images covering $1, 000$ different identities;
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- (2) a synthetic image sub-collection, containing $8, 630$ cleaned and re-annotated identities (i.e., clean up the images with mismatching identities and low-quality faces in the cropped [VGGFace2](https://github.com/ox-vgg/vgg_face2)).
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## Download the dataset:
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<!-- ***Limited by the capacity of the cloud disk, we divided the dataset into two parts*** -->
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### Via Google Drive:
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[[Google Drive] VGGFace2-HQ](https://drive.google.com/drive/folders/1ZHy7jrd6cGb2lUa4qYugXe41G_Ef9Ibw?usp=sharing)
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<!-- [[Google Drive] VGGFace2-HQ Part2 (89GB)](https://drive.google.com/drive/folders/1ZHy7jrd6cGb2lUa4qYugXe41G_Ef9Ibw?usp=sharing) -->
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***We are especially grateful to [Kairui Feng](https://scholar.google.com.hk/citations?user=4N5hE8YAAAAJ&hl=zh-CN) PhD student from Princeton University.***
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### Via Baidu Drive:
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[[Baidu Drive] VGGFace2-HQ](https://pan.baidu.com/s/1LwPFhgbdBj5AeoPTXgoqDw) Password: ```sjtu```
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<!-- [[Baidu Drive] VGGFace2-HQ Part2 (89GB)](https://pan.baidu.com/s/1LwPFhgbdBj5AeoPTXgoqDw) Password: ```sjtu``` -->
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## Samples from VGGFace2-HQ
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### Natural Part:
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[](https://github.com/neuralchen/SimSwapPlus)
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### Synthetic Part:
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[](https://github.com/neuralchen/SimSwapPlus)
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# Methodology of SimSwap++
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## Additional Results:
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Will be avaliable 2022/12/25
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## Video in-the-wild Results (under construction):
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### Videos are generated frame by frame without any temporal smoothing (e.g., Kalman Filter), which may cause some subtle flickering.
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### Group1 [SimSwap++ (S)]:
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[Source ID: Scarlett Johansson Target ID: Shakira (1080p on YouTube)](https://youtu.be/4qnoV80MVKc)
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[](https://youtu.be/4qnoV80MVKc)
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[Source ID: Dilireba Target ID: Shakira (1080p on Google Drive)](https://drive.google.com/file/d/1UDj9yw_uhAyxbASijOQhKQfKXiS2KFEv/view?usp=sharing)
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[](https://drive.google.com/file/d/1UDj9yw_uhAyxbASijOQhKQfKXiS2KFEv/view?usp=sharing)
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[Source ID: Tom Cruise Target ID: Shakira (1080p on Google Drive)](https://drive.google.com/file/d/1N87we7Tf-gz5X0YJqOB6YVJNf84Yg9vk/view?usp=sharing)
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[](https://drive.google.com/file/d/1N87we7Tf-gz5X0YJqOB6YVJNf84Yg9vk/view?usp=sharing)
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[Source ID: Elon Musk Target ID: Shakira (1080p on Google Drive)](https://drive.google.com/file/d/1zutwS3pPKKnt-WwsolPNC1HQyBzgmMU7/view?usp=sharing)
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Musk's face is always so recognizable!
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[](https://drive.google.com/file/d/1zutwS3pPKKnt-WwsolPNC1HQyBzgmMU7/view?usp=sharing)
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[Source ID: Keira Knightley Target ID: Shakira (1080p on Google Drive)](https://drive.google.com/file/d/1uJWmQ9Hv3c3XM26fCGmZhjdEfnUujiAJ/view?usp=sharing)
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[](https://drive.google.com/file/d/1uJWmQ9Hv3c3XM26fCGmZhjdEfnUujiAJ/view?usp=sharing)
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[Source ID: Brad Pitt Target ID: Shakira (1080p on Google Drive)](https://drive.google.com/file/d/1vXe0awnEmuDVj8m3akfDSyYzGB0VyXoo/view?usp=sharing)
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[](https://drive.google.com/file/d/1vXe0awnEmuDVj8m3akfDSyYzGB0VyXoo/view?usp=sharing)
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[Source ID: Nicole Kidman Target ID: Shakira (1080p on Google Drive)](https://drive.google.com/file/d/1jUESffXxB7K-3siG5GK4STGxAs2hTiJ3/view?usp=sharing)
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[](https://drive.google.com/file/d/1jUESffXxB7K-3siG5GK4STGxAs2hTiJ3/view?usp=sharing)
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### Group2 [SimSwap++ (S)]:
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[Source ID: Kelly Clarkson Target ID: Taylor Swift (1080p on YouTube)](https://www.youtube.com/watch?v=U9WFnMHs6Nw)
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<img src="./docs/video/1.webp"/>
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[Source ID: Geoffrey Hinton Target ID: Taylor Swift (1080p on YouTube)](https://youtu.be/QLrneMYKki0)
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[](https://youtu.be/QLrneMYKki0)
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[Source ID: Gal Gadot Target ID: Taylor Swift (1080p on YouTube)](https://youtu.be/I00NuaICEQE)
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[](https://youtu.be/I00NuaICEQE)
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[Source ID: Leonardo DiCaprio Target ID: Taylor Swift (1080p on YouTube)](https://www.youtube.com/watch?v=75W6j-0ux4k)
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<img src="./docs/video/4.webp"/>
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[Source ID: Elon Musk Target ID: Taylor Swift (1080p on YouTube)](https://youtu.be/YRhql8WGSIE)
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[](https://youtu.be/YRhql8WGSIE)
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[Source ID: Robert Downey Target ID: Taylor Swift (1080p on YouTube)](https://www.youtube.com/watch?v=qbmtj4z0RmE)
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[](https://www.youtube.com/watch?v=qbmtj4z0RmE)
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[Source ID: Aamir Khan Target ID: Taylor Swift (1080p on YouTube)](https://youtu.be/BY-sMBTbtBU)
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[](https://youtu.be/BY-sMBTbtBU)
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### Group3 [SimSwap++ (S)] Complex Movie Scene:
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### I am Iron Man
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***Few previous face-swapping papers have published such complex movie scenes***
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***The subtle flickering can be resolved by introducing temporal smoothing, which is not our concern***
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[Source ID: Captain America Chris Evans Target ID: Iron Man (1080p on YouTube)](https://youtu.be/LizpujG-qpo)
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[](https://youtu.be/LizpujG-qpo)
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[Source ID: Scarlett Johansson Target ID: Iron Man (1080p on YouTube)](https://youtu.be/zMpejDaYFHg)
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[](https://youtu.be/zMpejDaYFHg)
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[Source ID: Elon Musk Target ID: Iron Man (1080p on Google Drive)](https://drive.google.com/file/d/1AYWRzUppslvvzzFvBL4JiCvpum_ZCeUL/view?usp=sharing)
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[](https://drive.google.com/file/d/1AYWRzUppslvvzzFvBL4JiCvpum_ZCeUL/view?usp=sharing)
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[Source ID: Leonardo Target ID: Iron Man (1080p on YouTube)](https://youtu.be/i2PduIAJomM)
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[](https://youtu.be/i2PduIAJomM)
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Will be avaliable 2022/12/25
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# Acknowledgements
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<!--ts-->
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* [GFPGAN](https://github.com/TencentARC/GFPGAN)
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* [Insightface](https://github.com/deepinsight/insightface)
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* [VGGFace2 Dataset for Face Recognition](https://github.com/ox-vgg/vgg_face2)
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<!--te--> |