SimSwap++: Towards Faster and High-Quality Identity Swapping

Xuanhong Chen, Bingbing Ni \dagger, Yutian Liu, Naiyuan Liu, Linzhi Zeng, Hang Wang

\dagger Corresponding author

Project page of SimSwap++

VGGFace2-HQ Dataset

VGGFace2-HQ contains more than 1.36M 512 \times 512 aligned face images and up to 9, 630 distinct identities. In addition, this dataset consists of two parts:

• (1) a natural image sub-collection, which collects up to 200, 000 images covering 1, 000 different identities;
• (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).

Download the dataset:

Via Google Drive:

[Google Drive] VGGFace2-HQ

We are especially grateful to Kairui Feng PhD student from Princeton University.

Via Baidu Drive:

[Baidu Drive] VGGFace2-HQ Password: sjtu

Samples from VGGFace2-HQ

Natural Part:

Synthetic Part:

Methodology of SimSwap++

Additional Results:

Will be avaliable 2022/12/25

Video Results:

Will be avaliable 2022/12/25

Acknowledgements

• GFPGAN
• Insightface
• VGGFace2 Dataset for Face Recognition