Facial Makeup Transfer
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Benchmarks
CPM-Synt-1
CPM-Synt-2
Most implemented
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
Disentangled Makeup Transfer with Generative Adversarial Network
Papers
DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis
In recent years, conditional image synthesis has attracted growing attention due to its controllability in the image generation process. Although recent works have achieved realistic results, most of them have difficulty…
Facial Makeup TransferImage GenerationStyle TransferTexture SynthesisSOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
In recent years, virtual makeup applications have become more and more popular. However, it is still challenging to propose a robust makeup transfer method in the real-world environment. Current makeup transfer methods m…
Face ModelFacial Makeup TransferLipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
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, …
Color ManipulationFacial Makeup TransferStyle TransferVirtual Try-onCompressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
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 networ…
DecoderFacial Makeup TransferDetection of Makeup Presentation Attacks based on Deep Face Representations
Facial cosmetics have the ability to substantially alter the facial appearance, which can negatively affect the decisions of a face recognition. In addition, it was recently shown that the application of makeup can be ab…
Face RecognitionFacial Makeup TransferGenerative Adversarial NetworkLocal Facial Makeup Transfer via Disentangled Representation
Facial makeup transfer aims to render a non-makeup face image in an arbitrary given makeup one while preserving face identity. The most advanced method separates makeup style information from face images to realize makeu…
Facial Makeup Transfer