Research map / Image generation / Text-to-image diffusion
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use DiffSketcher instead of CLIPasso for text-prompt consistency | DiffSketcher · text-to-sketch evaluation | CLIP cosine similarity: 0.3075 -> 0.3494 | Helped |
| use DiffSketcher instead of CLIPasso for aesthetics | DiffSketcher · text-to-sketch evaluation | CLIP aesthetic score: 4.0821 -> 4.8206 | Helped |
| use DiffSketcher instead of VectorFusion/CLIPasso | DiffSketcher · User study | confusion score: 0.39 -> 0.65 | Helped |
| initialize strokes from fused LDM attention maps instead of random or CLIP saliency (ablation) | DiffSketcher · qualitative convergence | synthesis speed and quality | Helped |
| add ASDS loss to JVSP loss (ablation) | DiffSketcher · qualitative | detail and diversity | Helped |
| add stroke opacity optimization (ablation) | DiffSketcher · qualitative | visual quality | Helped |
| vary data augmentation strategy (ablation) | ASDS loss · qualitative | quality | No clear effect |
| change prompt keywords (sketch, drawing, photo) (ablation) | DiffSketcher · qualitative | sketch style | No clear effect |
Closest papers by meaning
- Text to Sketch Generation with Multi-Styles (NeurIPS 2025 · similarity 0.88)
- SketchINR: A First Look into Sketches as Implicit Neural Representations (CVPR 2024 · similarity 0.88)
- SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation (ICML 2025 · similarity 0.88)
- It's All About Your Sketch: Democratising Sketch Control in Diffusion Models (CVPR 2024 · similarity 0.87)
- One-Shot Reference-based Structure-Aware Image to Sketch Synthesis (AAAI 2025 · similarity 0.87)
- SketchAgent: Language-Driven Sequential Sketch Generation (CVPR 2025 · similarity 0.86)
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