Makeup Prior Models for 3D Facial Makeup Estimation and Applications

arXiv:2403.17761v1 Announce Type: new
Abstract: In this work, we introduce two types of makeup prior models to extend existing 3D face prior models: PCA-based and StyleGAN2-based priors. The PCA-based prior model is a linear model that is easy to construct and is computationally efficient. However, it retains only low-frequency information. Conversely, the StyleGAN2-based model can represent high-frequency information with relatively higher computational cost than the PCA-based model. Although there is a trade-off between the two models, both are applicable to …

abstract applications arxiv construct cs.cv cs.gr easy face however information linear linear model low prior stylegan2 type types work