Facial Makeup Transfer
3 papers with code • 2 benchmarks • 3 datasets
Facial makeup transfer aims to translate the makeup style from a given reference makeup face image to another non-makeup one while preserving face identity.
Benchmarks
These leaderboards are used to track progress in Facial Makeup Transfer
| Trend | Dataset | Best Model | Paper | Code | Compare |
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CPM-Synt-1
CPM-Synt-2
BeautyFace
Most implemented papers
Disentangled Makeup Transfer with Generative Adversarial Network
Honlan/DMT
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Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face.
Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
Jian-danai/Decompose-Distill-BeautyGAN
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Although the facial makeup transfer network has achieved high-quality performance in generating perceptually pleasing makeup images, its capability is still restricted by the massive computation and storage of the network architecture.
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
VinAIResearch/CPM
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CVPR 2021
However, existing works overlooked the latter components and confined makeup transfer to color manipulation, focusing only on light makeup styles.
