justinpinkney / Toonify
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Toonify
Repository accompanying the paper:
Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains
Accepted to the Neurips 2020 Machine Learning for Creativity and Design NeurIPS 2020 Workshop.
Datasets
Datasets used in the paper:
Aligned Ukiyo-e Faces
Over five thousand aligned ukiyo-e faces at 1024x1024 pixel resolution. The dataset is released under a CC BY-SA 4.0 license. For more details see the accompanying dataset release blog post.
Download here - V2 (Google Drive)
Cartoon Faces
Code
I'm working on releasing an end to end set of examples but in the mean time please see the following two Colab notebooks:
-
Network blending
- Demonstrates the layer swapping technique for resolution dependent GAN interpolation -
Toonify yourself - Recreates the right hand panel of Figure 3 from the paper
More
For more details also see these blog posts:
- https://www.justinpinkney.com/stylegan-network-blending/
- https://www.justinpinkney.com/toonify-yourself/
- https://www.justinpinkney.com/making-toonify/
While you're here why not Toonify Yourself you can also try out Toonify HD
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