Research map / Image generation / Editing and style transfer
ExprGAN: Facial Expression Editing With Controllable Expression Intensity
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add 3K ExprGAN-generated training images | Expression classifier · Oulu-CASIA expression recognition | Accuracy (%): 77.78 -> 78.47 | Helped |
| Add 6K ExprGAN-generated training images | Expression classifier · Oulu-CASIA expression recognition | Accuracy (%): 81.94 | Helped |
| Add 30K ExprGAN-generated training images | Expression classifier · Oulu-CASIA expression recognition | Accuracy (%): 77.78 -> 84.72 | Helped |
| Increase ExprGAN-generated training images from 30K to 60K | Expression classifier · Oulu-CASIA expression recognition | Accuracy (%): 84.72 -> 84.72 | No clear effect |
| Use expression code c instead of expression labels y for retrieval | ExprGAN image retrieval · Oulu-CASIA expression retrieval | Expression-style retrieval quality | Helped |
Closest papers by meaning
- Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses (CVPR 2020 · similarity 0.89)
- Joint Pose and Expression Modeling for Facial Expression Recognition (CVPR 2018 · similarity 0.88)
- AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement (CVPR 2024 · similarity 0.84)
- FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions (AAAI 2024 · similarity 0.83)
- ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment (AAAI 2024 · similarity 0.83)
- 3D Facial Expressions through Analysis-by-Neural-Synthesis (CVPR 2024 · similarity 0.83)
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