Research map / Image generation / GANs
Creative Sketch Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use part-based generation with a part selector | DoodlerGAN · Creative Birds | FID: 71.05 -> 39.95 | Helped |
| use part-based generation with a part selector | DoodlerGAN · Creative Creatures | CS: 0.48 -> 0.55 | Helped |
| use part-based generation with a part selector | DoodlerGAN · Creative Creatures | GD: 16.11 -> 14.57 | Hurt |
| use part-based generation rather than 20% stroke-order chunks | DoodlerGAN · Creative Birds | FID: 103.79 -> 39.95 | Helped |
| use part-wise channels instead of conditioning on the entire partial sketch without part channels (ablation) | DoodlerGAN part generator · Creative Birds | eye containment failure rate: 57.4% -> 88.7% | Mixed |
| remove U-Net connections and concatenate encoder output directly with noise (ablation) | DoodlerGAN part generator · Creative Birds and Creative Creatures | part composition quality | Hurt |
| replace the learned part selector with a fixed most-common part order (ablation) | DoodlerGAN · Creative Birds and Creative Creatures | sketch quality | Hurt |
| apply conditioning perturbation by translating the partial sketch before generation (ablation) | DoodlerGAN part generator · Creative Birds | part generation diversity | Helped |
| use larger affine transformations during part-generator training (ablation) | DoodlerGAN · Creative Birds | generated part quality | Hurt |
| use larger affine transformations and longer training for creature part generators (ablation) | DoodlerGAN · Creative Creatures | generated part quality | Helped |
| sample and rank 10 candidate eyes by pixel sum and distance to the initial stroke (ablation) | DoodlerGAN inference · Creative Birds | generation quality | Helped |
| sample and rank candidate eyes by pixel sum and distance to the initial stroke (ablation) | DoodlerGAN inference · Creative Creatures | generation quality | No clear effect |
Closest papers by meaning
- AirSketch: Generative Motion to Sketch (NeurIPS 2024 · similarity 0.85)
- It's All About Your Sketch: Democratising Sketch Control in Diffusion Models (CVPR 2024 · similarity 0.84)
- SketchAgent: Language-Driven Sequential Sketch Generation (CVPR 2025 · similarity 0.84)
- SketchINR: A First Look into Sketches as Implicit Neural Representations (CVPR 2024 · similarity 0.84)
- Composing Parts for Expressive Object Generation (CVPR 2025 · similarity 0.83)
- Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks (NeurIPS 2024 · similarity 0.83)
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