We were just talking about how amazing that paper is! Interested in helping us implement it in Keras?
For segmentation we didn’t have time to implement Mask R-CNN, but we found a helpful github with a DilatedNet implementation that seemed to work ok.
If anyone is interested in helping out, we are going to try to implement a few of these new papers! It could be a cool class project 
Here are a few techniques we could try implementing:
Video Style Transfer with Optical Flow
Deep Photo Style Transfer
Fast Patch-based Style Transfer of Arbitrary Style
Targeted Style Transfer Using Instance-aware Semantic Segmentation
*Uses Markov Random Fields
Mask R-CNN
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
*Yoshua Bengio one of the authors