DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion
Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu
2023Year
27Top-tier citations
Abstract
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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Install the CLIlune papers fulltext e811936b-0bff-4fc9-8ca3-7694d96cfdf8Cited by top-tier papers27
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