Artistic Style Transfer for Videos

From Manuel Ruder, Alexey Dosovitskiy, Thomas Brox of the University of Freiburg:

In the past, manually re-drawing an image in a certain artistic style required a professional artist and a long time. Doing this for a video sequence single-handed was beyond imagination. Nowadays computers provide new possibilities. We present an approach that transfers the style from one image (for example, a painting) to a whole video sequence. We make use of recent advances in style transfer in still images and propose new initializations and loss functions applicable to videos. This allows us to generate consistent and stable stylized video sequences, even in cases with large motion and strong occlusion. We show that the proposed method clearly outperforms simpler baselines both qualitatively and quantitatively... (pdf paper)

 

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

MiR200 - Autonomous Mobile Cobot

MiR200 - Autonomous Mobile Cobot

MiR200 is a safe, cost-effective mobile robot that automates your internal transportation. The robot optimizes workflows, freeing staff resources so you can increase productivity and reduce costs. MiR200 safely maneuvers around people and obstacles, through doorways and in and out of lifts. You can download CAD files of the building directly to the robot, or program it with the simple, web-based interface that requires no prior programming experience. With its fast implementation, the robots offers a fast ROI, with payback in as little as a year.