Artistic style transfer for videos
Manuel Ruder
and
Alexey Dosovitskiy
and
Thomas Brox
arXiv e-Print archive - 2016 via Local arXiv
Keywords:
cs.CV
First published: 2016/04/28 (8 years ago) Abstract: 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.