Neural Style Transfer

The Neural Style Transfer project is a web application that uses a Generative Adversarial Network (GAN) to apply the style of a chosen artwork to a user-provided image. It was developed using Flask, CSS, JavaScript, HTML, Python, and PyTorch and includes features such as user login, signup, and the ability to share the generated images on social media platforms. It allow users to choose from four different styles: Ukiyoe, Monet, Cezanne, and Vangogh. The project was completed by Hanzalah Firdausi, Lasani Hussain, and Ankit Kuswah as part of their final project for Data Processing and Management coursework (ECE 560) at IIIT Delhi. We thank Dr. Pravesh Biyani and course TAs for their supervision.