[D] What is the best implementation of neural style transfer in Ubuntu?
I’m wondering if there has been any updates.
The consensus seems to be that Jcjohnson still reigns king… However, people found ways to speed it up (https://github.com/lengstrom/fast-style-transfer), clean it up (https://github.com/chuanli11/CNNMRF), or combine speed, quality and effectiveness (https://arxiv.org/pdf/1812.05233.pdf).
I see there have been some repos where people pulled or forked to create their own. I’m hesitant to approach these for their lack of comments/support.
I’ve personally experimented with Jcjohnson and cysmith (https://github.com/cysmith/neural-style-tf) with many happy results. But I’m wondering if people have had luck with others that I’ve missing.
Ultimately, I’m looking for a method that can provide accurate style transfers with minimum artifacts (time is less of a priority) with video capabilities. I have a rig with 2 x GTX 1070 running ubuntu 16.04 LTS.