Supervised Learning for Makeup Style Transfer

التفاصيل البيبلوغرافية
العنوان: Supervised Learning for Makeup Style Transfer
المؤلفون: Strawa, Natalia, Sarwas, Grzegorz
المساهمون: Skala, Václav
بيانات النشر: Václav Skala - UNION Agency
سنة النشر: 2022
المجموعة: University of West Bohemia Digital Library / Digitální knihovna Západočeské univerzity v Plzni
مصطلحات موضوعية: přenos make-upu, přenos stylu obrázku, CycleGAN, GAN, zpracování obrazu, hluboké učení, makeup transfer, image style transfer, image processing, deep learning
الوصف: This paper addresses the problem of using deep learning for makeup style transfer. For solving this problem, we propose a new supervised method. Additionally, we present a technique for creating a synthetic dataset for makeup transfer used to train our model. The obtained results were compared with six popular methods for makeup transfer using three metrics. The tests were carried out on four available data sets. The proposed method, in many respects, is competitive with the methods used in the literature. Thanks to images of faces with generated synthetic makeup, the proposed method learns to better transfer details, and the learning process is significantly accelerated.
نوع الوثيقة: conference object
وصف الملف: 10 s.; application/pdf
اللغة: English
ردمك: 978-80-86943-33-6
80-86943-33-X
تدمد: 2464-4617
Relation: WSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 199-208.; http://hdl.handle.net/11025/49595; https://www.doi.org/10.24132/CSRN.3201.25
DOI: 10.24132/CSRN.3201.25
الاتاحة: http://hdl.handle.net/11025/49595
https://doi.org/10.24132/CSRN.3201.25
Rights: © Václav Skala - UNION Agency ; openAccess
رقم الانضمام: edsbas.94318924
قاعدة البيانات: BASE
الوصف
ردمك:9788086943336
808694333X
تدمد:24644617
DOI:10.24132/CSRN.3201.25