A Survey on Face Generation Using Deep Learning

S. T. Shirkande, Mane Deshmukh Pradnya, Mane Shruti, Rakhunde Abhilasha and Waghmare Vaibhavi

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 10, 94-97

Abstract: The field of deep learning has witnessed remarkable advancements in the generation of realistic and high-quality human faces. This abstract provides an overview of the techniques and methodologies employed in face generation using deep learning models. Face generation using deep learning primarily relies on Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). These models have demonstrated the ability to synthesize lifelike faces, presenting a wide range of applications in computer vision, entertainment, and beyond.

Keywords: Deep learning frameworks (e.g.; TensorFlow; PyTorch); Image-to-image translation; Image synthesis. Unsupervised learning (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2361016
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