Research map / Image generation / Editing and style transfer
SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase fine-tuning set size 50 -> 775 glyphs (ablation) | SCFont · held-out font | IOU: 0.3121 -> 0.4163 | Helped |
| add stroke category prior via spatial feature transform (ablation) | SkelNet · glyph generation | visual quality | Helped |
| add stacked second-stage network (ablation) | SkelNet and StyleNet · glyph generation | visual quality | Helped |
| combine adversarial, pixel and consistency losses (ablation) | StyleNet · glyph generation | visual quality | Helped |
| structure-guided skeleton then style rendering vs end-to-end image translation | Chinese font generation · FZJHSXJW | IOU: 0.4682 -> 0.5459 | Helped |
| structure-guided skeleton then style rendering vs end-to-end image translation | Chinese font generation · FZTLJW | L1 loss: 0.1459 -> 0.1188 | Helped |
Closest papers by meaning
- DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models (AAAI 2024 · similarity 0.89)
- VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization (AAAI 2024 · similarity 0.87)
- Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models (CVPR 2024 · similarity 0.86)
- Decoupling Layout from Glyph in Online Chinese Handwriting Generation (ICLR 2025 · similarity 0.86)
- VecGlypher: Unified Vector Glyph Generation with Language Models (CVPR 2026 · similarity 0.83)
- VecFusion: Vector Font Generation with Diffusion (CVPR 2024 · similarity 0.83)
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