fast-neural-style

July 2018 Update:

1. Upgrade to PyTorch 0.4.0.
2. Minor Refactor.
3. Allow assigning an independent style weight for each layer.
4. Provide a Dockerfile

The code to the first blog post about this project can be found in tag 201707.

Stylize Script Usage Example

python stylize.py models/model_rain_princess_cropped.pth content_images/pic.jpg pic-512.jpg --resize=512

Old README

This personal fun project is heavily based on abhiskk/fast-neural-style with some changes and a video generation notebook/script:

1. Use the official pre-trained VGG model
2. Output intermediate results during training
3. Add Total Variation Regularization as described in the paper

The model uses the method described in Perceptual Losses for Real-Time Style Transfer and Super-Resolution along with Instance Normalization.