Research map / Image generation / Autoregressive and latent generation
Designing Effective Inter-Pixel Information Flow for Natural Image Matting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace Gastal and Oliveira regularization with proposed information-flow regularization | KL-D · Alpha matting benchmark, overall | SAD: 24.4 % | Helped |
| Replace Gastal and Oliveira regularization with proposed information-flow regularization | KL-D · Alpha matting benchmark, overall | MSE: 28.5 % | Helped |
| Replace Gastal and Oliveira regularization with proposed information-flow regularization | SM · Alpha matting benchmark, overall | SAD: 6.0 % | Helped |
| Replace Gastal and Oliveira regularization with proposed information-flow regularization | SM · Alpha matting benchmark, overall | MSE: 13.6 % | Helped |
| Replace Gastal and Oliveira regularization with proposed information-flow regularization | CS · Alpha matting benchmark, overall | SAD: 4.9 % | Helped |
| Replace Gastal and Oliveira regularization with proposed information-flow regularization | CS · Alpha matting benchmark, overall | MSE: 18.7 % | Helped |
| Remove color-mixture flow (ablation) | Proposed matting method · Natural image matting, wide opacity gradients | matte quality | Hurt |
| Remove direct K-to-U information flow (ablation) | Proposed matting method · Natural image matting, regions around holes | matte quality | Hurt |
| Remove confidence weighting from K-to-U flow (ablation) | Proposed matting method · Natural image matting, similar foreground and background colors | matte quality | Hurt |
| Remove intra-unknown-region information flow (ablation) | Proposed matting method · Natural image matting, intricate structures | matte quality | Hurt |
| Remove local information flow (ablation) | Proposed matting method · Natural image matting | spatial coherence | Hurt |
| Include K-to-U information flow for highly transparent objects (ablation) | Proposed matting method · Highly transparent foreground objects | matte quality | Hurt |
Closest papers by meaning
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- DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting (NeurIPS 2024 · similarity 0.86)
- MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation (ICLR 2025 · similarity 0.86)
- Unifying Automatic and Interactive Matting with Pretrained ViTs (CVPR 2024 · similarity 0.86)
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