Neural Style Transfer For Video Animation
Mr. Kanala Raghupathi, Yata Rushithanjali, B Sushma, Palwai Komal Kumar Reddy, Edula Anirudh · International Journal of Research Publication and Reviews · 2025
Neural Style Transfer (NST) for video animation is a deep learning technique that applies the artistic style of a reference image to each frame of a video, creating a visually consistent and stylized animation.By using convolutional neural networks, the model preserves the original video-content while transforming its appearance to match the chosen art style.When integrated with a user-friendly graphical interface, users can easily upload videos and style images, preview transformations, and export the stylized video, making the process accessible and interactive for both developers and digital artists.The interface also allows realtime parameter tuning such as style intensity and resolution.This approach enhances creativity in animation, filmmaking, and multimedia content generation