| import streamlit as st | |
| def about(): | |
| st.markdown(""" | |
| # About Me | |
| ## Social Links | |
| - **GitHub**: [https://www.github.com/prabhukiran8790](https://www.github.com/prabhukiran8790) | |
| - **LinkedIn**: [https://www.linkedin.com/in/prabhukirankonda](https://www.linkedin.com/in/prabhukirankonda) | |
| - **Twitter**: [https://twitter.com/prabhukirantwt](https://twitter.com/prabhukirantwt) | |
| - **Email**: [prabhukiran426@gmail.com](mailto:prabhukiran426@gmail.com) | |
| ## Website | |
| Visit my website at [https://prabhukirankonda.vercel.app](https://prabhukirankonda.vercel.app). | |
| # About the Project | |
| This project is focused on GFPGAN, a remarkable creation by the ARC Lab at Tencent PCG. GFPGAN stands for **Generative Face Progressive Growing Adversarial Network**. It is an advanced face restoration model designed for various applications, with a primary focus on restoring the appearance of faces in old photographs and enhancing AI-generated faces. | |
| ## Key Features | |
| - **Face Restoration**: GFPGAN is an innovative solution for restoring the quality and appearance of faces in vintage or damaged photographs. | |
| - **AI-Generated Faces Enhancement**: It can also be used to enhance the realism and quality of AI-generated faces, making them look more natural and lifelike. | |
| - **Practical Application**: This algorithm provides a practical and efficient approach to improving the visual quality of facial images, which can have numerous applications in image editing and restoration. | |
| GFPGAN represents a significant advancement in the field of computer vision and image processing, opening up new possibilities for improving the visual quality of images containing faces. | |
| For more details and updates about GFPGAN [github.com/TencentARC/GFPGAN](https://github.com/TencentARC/GFPGAN) | |
| """) |