Research map / Image generation / Editing and style transfer
HairCLIP: Design Your Hair by Text and Reference Image
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use HairCLIP instead of StyleCLIP | Text-driven hair editing · 10 text descriptions | IDS: 0.79 -> 0.83 | Helped |
| Use HairCLIP instead of TediGAN | Text-driven hair editing · 10 text descriptions | IDS: 0.17 -> 0.83 | Helped |
| Add the background preservation loss (ablation) | HairCLIP · Hairstyle editing | PSNR: 19.9 -> 27.0 | Helped |
| Add the identity preservation loss (ablation) | HairCLIP · Hairstyle editing | IDS: 0.25 -> 0.85 | Helped |
| Add the hairstyle-only hair color preservation loss (ablation) | HairCLIP · Hairstyle editing | ACD: 0.09 -> 0.02 | Helped |
| Add the latent norm loss (ablation) | HairCLIP · Hairstyle editing | IDS: 0.75 -> 0.85 | Helped |
| Replace the modulation module with concatenated conditions and vanilla layer normalization (ablation) | HairCLIP · Joint hairstyle and hair color manipulation | manipulation capability | Hurt |
| Swap hairstyle and hair color embeddings across the coarse, medium, and fine sub-mappers (ablation) | HairCLIP · Joint hairstyle and hair color manipulation | manipulation quality | Hurt |
Closest papers by meaning
- HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion (NeurIPS 2024 · similarity 0.86)
- Perm: A Parametric Representation for Multi-Style 3D Hair Modeling (ICLR 2025 · similarity 0.86)
- Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles (CVPR 2024 · similarity 0.85)
- HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach (NeurIPS 2024 · similarity 0.84)
- Stable-Hair: Real-World Hair Transfer via Diffusion Model (AAAI 2025 · similarity 0.84)
- GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling (CVPR 2025 · similarity 0.84)
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