Research map / 3D vision / Face and shape
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Condition a latent edit on both the input latent code and target semantic parameters | StyleRig · StyleGAN portrait editing | edit quality | Helped |
| Add reconstruction loss to anchor the mapping in the latent space (ablation) | StyleRig · StyleGAN portrait editing | image quality | Helped |
| Add consistency loss to preserve parameters not being edited (ablation) | StyleRig · StyleGAN portrait editing | parameter consistency | Helped |
| Train the latent steering network without using the input latent code | StyleGAN portrait editing · StyleGAN portrait editing | edit quality | Hurt |
| Use semantic 3D parameters to control a pretrained StyleGAN | StyleRig · StyleGAN portrait editing | semantic control | Helped |
| Attempt in-plane rotation control using the learned rig | StyleRig · StyleGAN portrait editing | rotation control | Hurt |
Closest papers by meaning
- ControlFace: Harnessing Facial Parametric Control for Face Rigging (CVPR 2025 · similarity 0.89)
- Lifting 2D StyleGAN for 3D-Aware Face Generation (CVPR 2021 · similarity 0.88)
- MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation (AAAI 2022 · similarity 0.88)
- StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping (CVPR 2023 · similarity 0.87)
- LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example (CVPR 2024 · similarity 0.86)
- Controllable 3D Face Generation with Conditional Style Code Diffusion (AAAI 2024 · similarity 0.86)
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