Research map / Image generation / Autoregressive and latent generation
Scribbler: Controlling Deep Image Synthesis With Sketch and Color
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add adversarial loss to content loss (ablation) | Scribbler sketch-to-photo synthesis · Faces, cars, and bedrooms | visual realism and diversity | Helped |
| Use the deeper encoder-decoder architecture instead of Sketch Inversion | Scribbler sketch-to-photo synthesis · Complex bedroom scenes and simplified sketches | sharpness and hallucination of missing details | Helped |
| Add multiple sketch styles to training and fine-tune (ablation) | Scribbler face sketch-to-photo synthesis · Arbitrary hand-drawn face sketches | generalization | Helped |
| Add random cropping and sketch-line cut-off augmentation (ablation) | Scribbler sketch-to-photo synthesis · Sketches with missing details | hallucination of missing details | Helped |
| Add sparse color strokes to the input | Scribbler guided sketch colorization · Bedroom and car sketches | satisfaction of user color constraints | Helped |
| Use adversarial loss during sketch reconstruction (ablation) | Scribbler · Exaggerated or cartoonish face sketches | faithfulness to sketch constraints | Hurt |
| Use adversarial loss to satisfy rare color controls (ablation) | Scribbler colorization · Rare color requests, such as purple cars or red trees | faithfulness to color controls | Hurt |
| Use a weak discriminator and do not condition it on the input | Scribbler adversarial training · Training stability | stability | Helped |
Closest papers by meaning
- TextureGAN: Controlling Deep Image Synthesis With Texture Patches (CVPR 2018 · similarity 0.90)
- Self-Supervised Sketch-to-Image Synthesis (AAAI 2021 · similarity 0.88)
- High-Fidelity Guided Image Synthesis With Latent Diffusion Models (CVPR 2023 · similarity 0.88)
- Picture That Sketch: Photorealistic Image Generation From Abstract Sketches (CVPR 2023 · similarity 0.87)
- Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch (CVPR 2025 · similarity 0.87)
- It's All About Your Sketch: Democratising Sketch Control in Diffusion Models (CVPR 2024 · similarity 0.85)
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