GitHub topics: neural-style-transfer-tutorial
gordicaleksa/pytorch-naive-video-neural-style-transfer
Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.
Language: Python - Size: 6.89 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 81 - Forks: 8
gordicaleksa/pytorch-neural-style-transfer
Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
Language: Python - Size: 36.2 MB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 410 - Forks: 85
gordicaleksa/pytorch-neural-style-transfer-johnson
Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.
Language: Python - Size: 3.84 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 117 - Forks: 24
Pegah-Ardehkhani/Neural-Style-Transfer
Generate an Image with the Same "Content" As a Base Image, But with the "Style" of a Different Picture
Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0
