Papers › One Shot Face Swapping on Megapixels

One Shot Face Swapping on Megapixels

11 May 2021CVPR 2021 1arXiv:2105.04932archive 2025-07-28

Yuhao Zhu, Qi Li, Jian Wang, Chengzhong Xu, Zhenan Sun

Face swapping has both positive applications such as entertainment, human-computer interaction, etc., and negative applications such as DeepFake threats to politics, economics, etc. Nevertheless, it is necessary to understand the scheme of advanced methods for high-quality face swapping and generate enough and representative face swapping images to train DeepFake detection algorithms. This paper proposes the first Megapixel level method for one shot Face Swapping (or MegaFS for short). Firstly, MegaFS organizes face representation hierarchically by the proposed Hierarchical Representation Face Encoder (HieRFE) in an extended latent space to maintain more facial details, rather than compressed representation in previous face swapping methods. Secondly, a carefully designed Face Transfer Module (FTM) is proposed to transfer the identity from a source image to the target by a non-linear trajectory without explicit feature disentanglement. Finally, the swapped faces can be synthesized by StyleGAN2 with the benefits of its training stability and powerful generative capability. Each part of MegaFS can be trained separately so the requirement of our model for GPU memory can be satisfied for megapixel face swapping. In summary, complete face representation, stable training, and limited memory usage are the three novel contributions to the success of our method. Extensive experiments demonstrate the superiority of MegaFS and the first megapixel level face swapping database is released for research on DeepFake detection and face image editing in the public domain. The dataset is at this link.

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Tasks

DeepFake DetectionDisentanglementFace SwappingFace Transfer

1 archive task tag without a task page not shown.

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Face Swapping FaceForensics++ MegaFS ID retrieval 90.83 #8 of 17 Archive leaderboard report
Face Swapping FaceForensics++ MegaFS expression 2.96 #8 of 17 Archive leaderboard report
Face Swapping FaceForensics++ MegaFS pose 2.64 #8 of 17 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

ConvolutionPath Length RegularizationR1 RegularizationWeight Demodulation

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