Research map / Image generation / Autoregressive and latent generation
Learning-Based Sampling for Natural Image Matting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add background color predictions (ablation) | Alpha matting network · Adobe dataset | SAD: 47.13 -> 39.91 | Helped |
| add background color predictions (ablation) | Alpha matting network · Adobe dataset | MSE: 0.0146 -> 0.0115 | Helped |
| add foreground color predictions in addition to background predictions (ablation) | AlphaGAN matting network · Adobe dataset | MSE: 0.0115 -> 0.0099 | Helped |
| add foreground and background color predictions (ablation) | Deep Matting architecture · Adobe dataset | SAD: 53.56 -> 42.01 | Helped |
| add foreground and background color predictions (ablation) | Deep Matting architecture · Adobe dataset | MSE: 0.0187 -> 0.0114 | Helped |
| add foreground-set augmentation (ablation) | AlphaGAN matting network · Adobe dataset | SAD: 42.70 -> 40.35 | Helped |
| add foreground-set augmentation (ablation) | AlphaGAN matting network · Adobe dataset | MSE: 0.0126 -> 0.0099 | Helped |
| add alpha-gradient loss (ablation) | AlphaGAN matting network · Adobe dataset | MSE: 0.0107 -> 0.0099 | Helped |
| add alpha-gradient loss (ablation) | AlphaGAN matting network · Adobe dataset | SAD: 40.26 -> 40.35 | Hurt |
Closest papers by meaning
- DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting (NeurIPS 2024 · similarity 0.90)
- Deep Image Matting (CVPR 2017 · similarity 0.90)
- Designing Effective Inter-Pixel Information Flow for Natural Image Matting (CVPR 2017 · similarity 0.90)
- Natural Image Matting via Guided Contextual Attention (AAAI 2020 · similarity 0.90)
- Training Matting Models Without Alpha Labels (AAAI 2025 · similarity 0.88)
- Privileged Prior Information Distillation for Image Matting (AAAI 2024 · similarity 0.86)
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