Research map / Image generation / Editing and style transfer
Learning Formation of Physically-Based Face Attributes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Jointly generate albedo and geometry rather than generating them independently (ablation) | Identity model · Rendered identity images | IS: 2.22 -> 2.26 | Helped |
| Jointly generate albedo and geometry rather than generating them independently (ablation) | Identity model · Rendered identity images | FID: 23.61 -> 21.72 | Helped |
| Use the nonlinear expression model instead of the linear FaceWarehouse model | Expression fitting · Light Stage expression scans | MSE: 2.4 mm -> 1.2 mm | Helped |
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- Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion (CVPR 2025 · similarity 0.87)
- Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors (ICLR 2025 · similarity 0.87)
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