High-quality face image generated with conditional boundary equilibrium generative adversarial networks

• المؤلفون الرئيسيون: Huang, Bin, Chen, Weihai, Wu, Xingming, Lin, Chun-Liang, Suganthan, Ponnuthurai Nagaratnam
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Super Resolution; Generative Adversarial Network
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/142052

We propose a novel single face image super-resolution method, which is named Face Conditional Generative Adversarial Network (FCGAN), based on boundary equilibrium generative adversarial networks. Without taking any prior facial information, our approach combines the pixel-wise L1 loss and GAN loss...