Cartoonization of Images and Videos Using GAN...

Cartoonization of Images and Videos Using GAN and OPENCV

Author Name : Prof. Martina Rodrigues, Mukesh Parmar, Omkar Gorhe, Vedant Prabhu

ABSTRACT

Cartoonization of images and videos could be used in various different applications, which can be ease in publishing a comic book for a comic, anime, T.V. shows as well as for fun events on social media. This paper proposes cartoonization of images and videos through Generative Adversarial Networks (GANs). Thus an idea to convert realworld images and videos into cartoonized one is proposed through this paper. With carbonization, the paper also proposes to make a complete Image-hub for the user with features including upscaling, denoising and editing filters to the input images through the Python OpenCV library. The project also includes video to GIF conversion to use in various social media platforms to achieve cartoon filters. Thus the project is built to be user friendly and leveraging various other features rather than only cartoonization of images and videos.