Research map / Image generation / Editing and style transfer
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the adversarial loss for the transfer generator (ablation) | PairedCycleGAN makeup transfer · Makeup transfer examples | realistic makeup placement | Helped |
| Add the identity loss (ablation) | PairedCycleGAN makeup transfer · Makeup transfer examples | identity preservation | Helped |
| Add the style reconstruction loss (ablation) | PairedCycleGAN makeup transfer · Makeup transfer examples | makeup style fidelity | Helped |
| Add the style discriminator loss (ablation) | PairedCycleGAN makeup transfer · Makeup transfer examples | eyelash detail transfer | Helped |
| Use DRN instead of U-net (ablation) | PairedCycleGAN makeup transfer · Makeup transfer examples | overall transfer quality | Helped |
Closest papers by meaning
- Mask-Guided Portrait Editing With Conditional GANs (CVPR 2019 · similarity 0.88)
- Spatially-Invariant Style-Codes Controlled Makeup Transfer (CVPR 2021 · similarity 0.88)
- Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping (CVPR 2020 · similarity 0.88)
- Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer (CVPR 2022 · similarity 0.87)
- BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network (CVPR 2019 · similarity 0.87)
- A Style-Based Generator Architecture for Generative Adversarial Networks (CVPR 2019 · similarity 0.87)
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