Research map / Image generation / Image restoration
Efficient and Robust Color Consistency for Community Photo Collections
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use an L1-norm rather than an L2-norm residual in the matrix factorization (ablation) | Robust low-rank color-consistency factorization · Synthetic matrices across 50–500 images, σ=0.01–0.05, and 10%–20% outliers | Residual error: 2.17 / 4.73; 3.90 / 6.81; 0.93 / 2.91; 1.55 / 4.46; 0.33 / 2.19; 0.34 / 3.00; 0.26 / 1.82; 0.29 / 2.56; 3.51 / 5.65; 3.7 | Helped |
| Augment sparse matched patches with additional sampled pixels (ablation) | Color transfer from sparse SIFT correspondences · Two-image color transfer example | Color-transfer quality | Helped |
| Use dense NRDC correspondences instead of sparse correspondences | HaCohen et al. color-consistency method · WEDDING and ICE SKATER | Color consistency | Hurt |
| Apply the proposed robust rank-2 matrix factorization with sparse correspondences | Community photo collection color correction · WEDDING and ICE SKATER | Color consistency | Helped |
Closest papers by meaning
- When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images (CVPR 2019 · similarity 0.85)
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- Enabling Region-Specific Control via Lassos in Point-Based Colorization (AAAI 2025 · similarity 0.83)
- CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images (CVPR 2024 · similarity 0.82)
- High-Resolution Image Harmonization with Adaptive-Interval Color Transformation (NeurIPS 2024 · similarity 0.82)
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