Research map / Label-efficient and robust learning / Recognition and long-tail
Unsupervised Disentanglement of Linear-Encoded Facial Semantics
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add decorrelation regularization to the mapping network (ablation) | StyleGAN-2 · CASIA WebFace | FID: 11.85 -> 9.96 | Helped |
| Add decorrelation regularization to the mapping network (ablation) | StyleGAN-2 · CASIA WebFace | PPL: 15.26 -> 12.30 | Helped |
| Add decorrelation regularization to the mapping network (ablation) | StyleGAN-2 · FFHQ | FID: 25.49 -> 15.57 | Helped |
| Add decorrelation regularization to the mapping network (ablation) | StyleGAN-2 · FFHQ | PPL: 34.24 -> 20.23 | Helped |
| Add mutual reconstruction by swapping albedo and depth maps between samples | Unsupervised 3D face reconstruction · CASIA WebFace | stability of semantic reconstruction | Helped |
| Add yaw-guided extrapolation augmentation during training | Unsupervised 3D face reconstruction · CASIA WebFace profile and near-profile generations | yaw estimation accuracy | Helped |
Closest papers by meaning
- Semi-Supervised StyleGAN for Disentanglement Learning (ICML 2020 · similarity 0.90)
- Interpreting the Latent Space of GANs for Semantic Face Editing (CVPR 2020 · similarity 0.90)
- SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing (AAAI 2024 · similarity 0.87)
- Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints (ICLR 2025 · similarity 0.86)
- Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models (NeurIPS 2024 · similarity 0.86)
- Transferring disentangled representations: bridging the gap between synthetic and real images (NeurIPS 2024 · similarity 0.86)
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