ceshine / Fast Neural Style
Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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fast-neural-style
July 2018 Update:
- Upgrade to PyTorch 0.4.0.
- Minor Refactor.
- Allow assigning an independent style weight for each layer.
- 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:
- Use the official pre-trained VGG model
- Output intermediate results during training
- 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.
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