End to End Neural Art

Please refer to this blog for details of how it is implemented.

How to use

1. First use ../download.sh to download pre-trained model and sample inputs.

2. Prepare training dataset. Put image samples to ../data/ (one file for each image sample). The pretrained model here was trained by 26k images sampled from MIT Place dataset.

3. Use boost_train.py for training.

Pretrained Model

• Model: https://github.com/dmlc/web-data/raw/master/mxnet/art/model.zip
• Inference script: boost_inference.py