MakeupQuad: Deep Learning Makeup Transfer

• MakeupQuad is a novel makeup-transfer approach that leverages deep learning to accurately apply cosmetic styles between images.
• The method employs advanced neural architectures to preserve facial structure while transferring detailed makeup features.
• Experimental results indicate that MakeupQuad can achieve high fidelity transformations, making it valuable for beauty and advertising applications.

Searching arXiv for the cited paper and closely related makeup-transfer work. arXiv search: (Wu et al., 8 Aug 2025)