# PyTorch Style Transfer

 Multi-style Generative Network for Real-time Transfer [arXiv] [project] Hang Zhang, Kristin Dana @article{zhang2017multistyle, title={Multi-style Generative Network for Real-time Transfer}, author={Zhang, Hang and Dana, Kristin}, journal={arXiv preprint arXiv:1703.06953}, year={2017} } 

# Deep Encoding

 This is a CVPR 2017 submission Deep TEN: Texture Encoding Network. Here we share the idea of this paper briefly. We integrate the entire dictionary learning and encoding framework into a single CNN model. This model is compatible with existing deep learning framework and enables end-to-end material/texture recognition. We have achieved state-of-the-art results on several gold-standard benchmarks. As a side product, we obtain 49.8% relative improvement on STL-10 dataset comparing to previous state-of-the-art by joint training with CIFAR-10 dataset.