دورية أكاديمية

Efficient Generation of Multiple Sketch Styles Using a Single Network

التفاصيل البيبلوغرافية
العنوان: Efficient Generation of Multiple Sketch Styles Using a Single Network
المؤلفون: Seho Bae, Nizam Ud Din, Kamran Javed, Juneho Yi
المصدر: IEEE Access, Vol 7, Pp 100666-100674 (2019)
بيانات النشر: IEEE, 2019.
سنة النشر: 2019
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Generative adversarial network, face sketch synthesis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: In the real world, different artists draw sketches of the same person with different artistic styles both in texture and shape. Our goal is to synthesize realistic face sketches of different styles while retaining the input face identity, only using a single network. To achieve this, we employ a modified conditional GAN with a target style label as input. Our method is capable of synthesizing multiple sketch styles even though it is based on a single network. Sketches created by our method show sketch quality comparable to the state-of-the-art sketch synthesis methods that use multiple networks.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/8778728/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2019.2931544
URL الوصول: https://doaj.org/article/b17496c008604905923d791f80812ec1
رقم الأكسشن: edsdoj.b17496c008604905923d791f80812ec1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2019.2931544