Application of Real-time Automatic Cartoon Style Generation from Live video

Abstract

Converting live video to cartoons is a favorable technology. The main objective of the project is to transform live videos into animated or cartoon videos. The prior transformation approach needs sophisticated computer abilities and graphics. The idea of the project is to convert videos into an art form such as painting. There are various methods for turning real-world photos and videos into cartoons, but among all of them, the application of a Generative Adversarial Network (GAN) dubbed Cartoon GAN will be employed for style. Using real-world live footage being captured by a camera, high-quality cartoonized live video was produced with the aid of GAN.