Research map / Image generation / Image restoration
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add spatial consistency loss (ablation) | Zero-DCE · Low-light image enhancement | Local contrast | Helped |
| Add exposure control loss (ablation) | Zero-DCE · Low-light image enhancement | Low-light recovery | Helped |
| Add color constancy loss (ablation) | Zero-DCE · Low-light image enhancement | Color fidelity | Helped |
| Add illumination smoothness loss (ablation) | Zero-DCE · Low-light image enhancement | Visual artifacts | Helped |
| Use 8 curve iterations instead of 1 (ablation) | Zero-DCE · Low-light image enhancement | Visual enhancement quality | Helped |
| Use 3 convolutional layers instead of 7 (ablation) | Zero-DCE · Low-light image enhancement | Visual enhancement quality | No clear effect |
| Include over-exposed images in multi-exposure training data (ablation) | Zero-DCE · Low-light image enhancement | Exposure balance | Helped |
| Train with more multi-exposure images (ablation) | Zero-DCE · Low-light image enhancement | Dark-region recovery | Helped |
Closest papers by meaning
- Zero-Reference Low-Light Enhancement via Physical Quadruple Priors (CVPR 2024 · similarity 0.85)
- Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios (ICLR 2025 · similarity 0.85)
- ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images (CVPR 2024 · similarity 0.84)
- Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models (AAAI 2025 · similarity 0.83)
- Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions (AAAI 2025 · similarity 0.83)
- DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors (AAAI 2025 · similarity 0.83)
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