Lune

CVPR2023Top-tier venue

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.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext e811936b-0bff-4fc9-8ca3-7694d96cfdf8

Cited by top-tier papers27

Ask how each one uses it

Builds on15

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines