Research map / Image generation / Image restoration
Semi-Supervised Parametric Real-World Image Harmonization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use dual-stream training with unpaired realistic composites in addition to artist-retouched supervised data (ablation) | Parametric image harmonization model · RealHM 512×512 | MSE: 264.0 -> 154.3 | Helped |
| Add the local shading map to global RGB curves (ablation) | Dual-stream harmonization model · RealHM 512×512 | MSE: 222.6 -> 154.3 | Helped |
| Use dual-stream training with realistic composites (ablation) | Global-curves-plus-shading model · RealHM 512×512 | PSNR: 26.89 -> 28.40 | Helped |
| Add the local shading map (ablation) | Dual-stream harmonization model · RealHM 512×512 | B-T score: 0.217 -> 0.252 | Helped |
| Replace synthetic-only supervised training with dual-stream training on artist-retouched pairs and unpaired realistic composites | Parametric image harmonization model · Real composites user study | B-T score: 0.2257 -> 0.3025 | Helped |
| Use the proposed model rather than Harmonizer | Image harmonization · iHarmony 2048×2048 Adobe5k | PSNR: 38.33 -> 38.29 | No clear effect |
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