“Artistic style transfer for videos” by Ruder et al. ’16

Artistic style transfer for videos

Manuel Ruder, Alexey Dosovitskiy, Thomas Brox

German Conference on Pattern Recognition (GCPR), LNCS 9796, pp. 26-36 (2016)

Paper: https://arxiv.org/abs/1604.08610
Repository1 (original): https://github.com/manuelruder/artistic-videos
Repository2 (faster): https://github.com/NameRX/artistic-videos

Deep learning based style transfer, extended to videos. Frame-to-frame coherence is guided by optical flow.
Input is a video (content) and an image (style) to output stylized image.