Research map / Image generation / Image restoration
Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add color residue joint learning module (ablation) | dual-lens colorization network · Cityscapes Setup1 | PSNR (dB): 36.04 -> 44.26 | Helped |
| add color residue joint learning module (ablation) | dual-lens colorization network · SceneFlow Setup1 | PSNR (dB): 35.98 -> 45.18 | Helped |
| use weighted average of candidate pixel colors instead of soft-argmax single match (ablation) | dual-lens colorization network · Cityscapes Setup1 | PSNR (dB): 39.84 -> 44.26 | Helped |
| use weighted average instead of soft-argmax (ablation) | dual-lens colorization network · Middlebury Setup1 | PSNR (dB): 38.37 -> 41.94 | Helped |
| add attention operation (ablation) | dual-lens colorization network · Cityscapes Setup1 | PSNR (dB): 41.91 -> 44.26 | Helped |
| add attention operation (ablation) | dual-lens colorization network · Middlebury Setup1 | PSNR (dB): 40.92 -> 41.94 | Helped |
| colorization network instead of stereo matching network with color warp (ablation) | dual-lens colorization network · Cityscapes Setup1 | PSNR (dB): 22.17 -> 44.26 | Helped |
| proposed network vs Jeon et al. and other baselines | reference-based colorization · Setup1/Setup2 all four datasets | PSNR (dB): 39.33 -> 44.26 (Cityscapes Setup1 vs Jeon) | Helped |
Closest papers by meaning
- Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems (AAAI 2020 · similarity 0.90)
- Instance-Aware Image Colorization (CVPR 2020 · similarity 0.89)
- Colorization Transformer (ICLR 2021 · similarity 0.88)
- Enabling Region-Specific Control via Lassos in Point-Based Colorization (AAAI 2025 · similarity 0.85)
- Close Imitation of Expert Retouching for Black-and-White Photography (CVPR 2024 · similarity 0.84)
- Learning Color Equivariant Representations (ICLR 2025 · similarity 0.84)
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