A Study on Customized Face generator using Generative Adversarial Networks (GANs)
Priya Yadav, Ramandeep Kaur, Udhayakumar Hariharan · 2023
The Customized Face Generator (CFG) emerges as a ground-breaking response to a substantial challenge in the rapidly developing fields of computer graphics and artificial intelligence. Background issues for this study include the need to address ethical issues related to bias and representation in these digital identities as well as the growing desire for realistic and adaptable human faces across a range of industries, from entertainment to digital marketing. The design and development of a system that effortlessly blends diversity, realism, and personalization while preserving ethical standards is the main issue this research attempts to solve. It intends to provide users with the tools to create distinctive faces while upholding individual identities and avoiding damaging prejudices in generated content. The CFG’s ability to transform digital representation is its primary significance. It allows users to generate a variety of lifelike faces by utilizing cutting-edge deep learning techniques like GANs and VAEs, making for more engaging digital experiences and fostering greater individual expression. Modern technologies and ethical considerations are incorporated into the study approach. The architecture of the CFG is made to gradually add layers of complexity to faces as they are generated, giving them a more realistic appearance. In order to prevent offensive content, an easy-to-use customizing interface is created. The key result of from this research project includes a face creation system that is extremely adjustable and morally upright. The usefulness of the CFG is shown through quantitative metrics assessing diversity, realism, and user happiness together with qualitative evaluations. The CFG has enormous global relevance. It opens up a new level of inclusion and personalization in digital settings, having an impact on fields that depend on visual communication. This study adds to the ongoing conversation around moral AI and lays out a plan for responsible innovation, where technology meets both practical needs and social conscience.