Research map / Image generation / Editing and style transfer
A Learned Representation For Artistic Style
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use one conditional instance normalization network for 10 Monet styles instead of separate single-style networks | Style transfer network · 10 Monet styles | content loss: 8.7 ± 3.9% higher | Hurt |
| Use one conditional instance normalization network for 10 Monet styles instead of separate single-style networks | Style transfer network · 10 Monet styles | style loss: 8.9 ± 16.5% lower | No clear effect |
| Adapt a trained network by learning style-specific γ and β parameters with shared weights fixed | 32-style network · Plum Trees in Blossom style adaptation | parameter updates for comparable pastiches: 5,000 steps ... 40,000 steps | Helped |
| Combine styles by convexly interpolating their γ and β parameters | Conditional instance normalization style representation · Style transfer between Bicentennial Print and Head of a Clown | style loss with respect to Bicentennial Print | Mixed |
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