Research map / Image generation / GANs
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use APDrawingGAN instead of CycleGAN | Face-photo-to-APDrawing translation · APDrawing test set | FID: 87.82 -> 62.14 | Helped |
| Use APDrawingGAN instead of Pix2Pix | Face-photo-to-APDrawing translation · APDrawing test set | FID: 75.30 -> 62.14 | Helped |
| Add local generator and discriminator networks for facial regions (ablation) | APDrawingGAN · APDrawing test set | drawing quality | Helped |
| Add the distance-transform loss (ablation) | APDrawingGAN · APDrawing test set | drawing quality | Helped |
| Initialize using a model pre-trained on NPR data (ablation) | APDrawingGAN · APDrawing test set | drawing quality | Helped |
Closest papers by meaning
- CartoonGAN: Generative Adversarial Networks for Photo Cartoonization (CVPR 2018 · similarity 0.89)
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- Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping (CVPR 2020 · similarity 0.87)
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