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Natural Image Matting via Guided Contextual Attention
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add guided contextual attention to the baseline | GCA Matting · Composition-1k testing set | MSE: 0.0106 -> 0.0091 | Helped |
| add guided contextual attention to the baseline | GCA Matting · Composition-1k testing set | SAD: 40.62 -> 35.28 | Helped |
| add guided contextual attention to the baseline | GCA Matting · Composition-1k testing set | Grad: 21.53 -> 16.92 | Helped |
| add guided contextual attention to the baseline | GCA Matting · Composition-1k testing set | Conn: 38.43 -> 32.53 | Helped |
| add compositional loss (ablation) | Baseline matting model · Composition-1k testing set | MSE: 0.0106 -> 0.0107 | Hurt |
| add compositional loss (ablation) | Baseline matting model · Composition-1k testing set | Grad: 21.53 -> 21.85 | Hurt |
| add gradient loss (ablation) | Baseline matting model · Composition-1k testing set | MSE: 0.0106 -> 0.0108 | Hurt |
| add gradient loss (ablation) | Baseline matting model · Composition-1k testing set | Grad: 21.53 -> 22.51 | Hurt |
| add Gabor loss (ablation) | Baseline matting model · Composition-1k testing set | MSE: 0.0106 -> 0.0109 | Hurt |
| add Gabor loss (ablation) | Baseline matting model · Composition-1k testing set | Grad: 21.53 -> 20.66 | Helped |
| remove additional data augmentation (ablation) | Baseline matting model · Composition-1k testing set | MSE: 0.0106 -> 0.0146 | Hurt |
| remove additional data augmentation (ablation) | Baseline matting model · Composition-1k testing set | Grad: 21.53 -> 32.01 | Hurt |
Closest papers by meaning
- In-Context Matting (CVPR 2024 · similarity 0.91)
- Revisiting Context Aggregation for Image Matting (ICML 2024 · similarity 0.89)
- Training Matting Models Without Alpha Labels (AAAI 2025 · similarity 0.89)
- DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting (NeurIPS 2024 · similarity 0.87)
- Unifying Automatic and Interactive Matting with Pretrained ViTs (CVPR 2024 · similarity 0.87)
- Privileged Prior Information Distillation for Image Matting (AAAI 2024 · similarity 0.87)
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