Exploring Generative Adversarial Networks for Face Generation

This research has used Generative Adversarial Networks (GANs) for face generation in the area of the research 1. GANs have demonstrated a high effectiveness in imitation of natural images not only, but also in specific applications 2. For the succeeding paper, their potential especially on creating human faces are being looked into. The primary goal is to develop a new design and practical training strategy to efficiently produce high-quality facial images 3. Experimental results confirm the ability of the proposed method to generate artificially intelligent faces and its role in improving the quality of the images.