Research map / Image generation / Editing and style transfer
Pose-Guided Photorealistic Face Rotation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use CAPG-GAN instead of TP-GAN | Face rotation · Multi-PIE Setting 2, ±90° | Rank-1 accuracy (%): 64.64 -> 66.05 | Helped |
| Use CAPG-GAN instead of TP-GAN | Face rotation · Multi-PIE Setting 2, ±15° | Rank-1 accuracy (%): 98.68 -> 99.82 | Helped |
| Use CAPG-GAN instead of FF-GAN | Face verification · LFW | Accuracy (%): 96.42 -> 99.37 | Helped |
| Add identity-preserving loss Lip (ablation) | CAPG-GAN · Multi-PIE Setting 2, ±90° | Rank-1 accuracy (%): 40.77 -> 66.05 | Helped |
| Add total variation regularization Ltv (ablation) | CAPG-GAN · Multi-PIE Setting 2, ±90° | Rank-1 accuracy (%): 61.33 -> 66.05 | Helped |
| Add conditional adversarial loss Ladv (ablation) | CAPG-GAN · Multi-PIE Setting 2, ±90° | Rank-1 accuracy (%): 46.83 -> 66.05 | Helped |
| Add source-image conditional discriminator loss Lii_adv (ablation) | CAPG-GAN · Multi-PIE Setting 2, ±90° | Rank-1 accuracy (%): 54.68 -> 66.05 | Helped |
| Add target-pose conditional discriminator loss Lpe_adv (ablation) | CAPG-GAN · Multi-PIE Setting 2, ±90° | Rank-1 accuracy (%): 57.78 -> 66.05 | Helped |
Closest papers by meaning
- Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis (NeurIPS 2017 · similarity 0.90)
- Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images (CVPR 2020 · similarity 0.90)
- A 3D GAN for Improved Large-Pose Facial Recognition (CVPR 2021 · similarity 0.88)
- Disentangled Representation Learning GAN for Pose-Invariant Face Recognition (CVPR 2017 · similarity 0.86)
- Towards Pose Invariant Face Recognition in the Wild (CVPR 2018 · similarity 0.86)
- CapHuman: Capture Your Moments in Parallel Universes (CVPR 2024 · similarity 0.85)
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