12 citations · 12 across the 2 of their papers we have counts for
3 papers
Neural Neighbor Style Transfer
Nicholas Kolkin, Michal Kucera, Sylvain Paris +3
We propose Neural Neighbor Style Transfer (NNST), a pipeline that offers state-of-the-art quality, generalization, and competitive efficiency for artistic style transfer. Our appro…
STALP: Style Transfer with Auxiliary Limited Pairing
David Futschik, Michal Kučera, Michal Lukáč +3
We present an approach to example-based stylization of images that uses a single pair of a source image and its stylized counterpart. We demonstrate how to train an image translati…
Interactive Video Stylization Using Few-Shot Patch-Based Training
Ondřej Texler, David Futschik, Michal Kučera +5
In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of…