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CVPR2023顶会

DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion

Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu

2023年份
27顶会引用

摘要

Shape-preserving. The controllability of our method enables us to use 3D-aware landmarks as the condition during generation to preserve the shape of the source face. Extensive experiments on both FF++ and FFHQ demonstrate that our method can achieve state-of-the-art face swapping results both qualitatively and quantitatively.

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