Research map / Image generation / Editing and style transfer
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add AMM to morph spatial makeup matrices using pixel correspondences (ablation) | PSGAN · Makeup-Wild, differing poses and expressions | qualitative makeup placement | Helped |
| Add visual appearance features to relative-position attention with weight 0.01 (ablation) | PSGAN AMM · Makeup-Wild attention maps | attention map quality | Helped |
| Remove visual appearance features from AMM attention (ablation) | PSGAN AMM · Makeup-Wild attention maps | attention map quality | Hurt |
| Increase the visual-feature weight beyond the selected setting (ablation) | PSGAN AMM · Makeup-Wild attention maps | attention map quality | Hurt |
Closest papers by meaning
- Spatially-Invariant Style-Codes Controlled Makeup Transfer (CVPR 2021 · similarity 0.90)
- BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network (CVPR 2019 · similarity 0.88)
- Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features (CVPR 2026 · similarity 0.87)
- SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal (AAAI 2022 · similarity 0.86)
- In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing (CVPR 2024 · similarity 0.85)
- Makeup Prior Models for 3D Facial Makeup Estimation and Applications (CVPR 2024 · similarity 0.84)
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