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| In-the-wild facial makeup consists of both color transfer and pattern addition. We propose a holistic method that can transfer the colors and patterns from a reference makeup style to another image. |
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| In-the-wild facial makeup consists of both color transfer and pattern addition. We propose a holistic method that can transfer the colors and patterns from a reference makeup style to another image. |
| Makeup transfer is the task of applying on a source face the makeup style from a reference image. Real-life makeups are diverse and wild, which cover not only color-changing but also patterns, such as stickers, blushes, and jewelries. However, existing works overlooked the latter components and confined makeup transfer to color manipulation, focusing only on light makeup styles. In this work, we propose a holistic makeup transfer framework that can handle all the mentioned makeup components. It consists of an improved color transfer branch and a novel pattern transfer branch to learn all makeup properties, including color, shape, texture, and location. To train and evaluate such a system, we also introduce new makeup datasets for real and synthetic extreme makeup. Experimental results show that our framework achieves the state of the art performance on both light and extreme makeup styles. |
Our proposed method can replicate both color and pattern (drawings, glitters, etc.) from target style.
✌️ Two-Minute Video
🖐️ Five-Minute Video
You can try it in Google Colab here!
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| [Github] | [Datasets] |
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Thao Nguyen, Anh Tran, Minh Hoai. Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer In CVPR, 2021. [paper] [supplementary] [poster] |
| ➥ BibTeX: |
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@inproceedings{m_Nguyen-etal-CVPR21, author = {Thao Nguyen and Anh Tran and Minh Hoai}, title = {Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer}, year = {2021}, booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR)} } |
✓ Additional results on Makeup Transfer Dataset |
We skipped some baselines which have no released model, such as BeautyGLOW and CA-GAN. |
Acknowledgements |
