Research map / 3D vision / Face and shape
Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| refine the 3DMM coarse texture with GCNs and image details | 3DMM face reconstruction · CelebA | PSNR: 26.58 -> 29.69 | Helped |
| add pixel-wise and identity-preserving losses (ablation) | 3DMM texture refinement · CelebA | PSNR: 26.58 -> 28.57 | Helped |
| add adversarial loss (ablation) | texture refinement with pixel-wise and identity-preserving losses · CelebA | PSNR: 28.57 -> 29.30 | Helped |
| add vertex-wise loss (ablation) | texture refinement with pixel-wise, identity-preserving, and adversarial losses · CelebA | PSNR: 29.30 -> 29.69 | Helped |
| replace GCNs with fully-connected layers (ablation) | 3DMM texture refinement · CelebA | PSNR: 29.69 -> 25.88 | Hurt |
| replace GCNs with convolutional layers on unwrapped UV space (ablation) | 3DMM texture refinement · CelebA | PSNR: 29.69 -> 27.54 | Hurt |
| train and test with higher-resolution CelebA-HQ images (ablation) | 3DMM-GCN reconstruction · CelebA-HQ | texture artifact quality | Helped |
Closest papers by meaning
- GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction (CVPR 2019 · similarity 0.91)
- Photorealistic Facial Texture Inference Using Deep Neural Networks (CVPR 2017 · similarity 0.91)
- Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction (CVPR 2020 · similarity 0.91)
- 3D Face Morphable Models "In-The-Wild" (CVPR 2017 · similarity 0.90)
- FreeUV: Ground-Truth-Free Realistic Facial UV Texture Recovery via Cross-Assembly Inference Strategy (CVPR 2025 · similarity 0.89)
- UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation (CVPR 2024 · similarity 0.87)
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