Research map / Image generation / Image restoration
Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add random scattering-coefficient sampling for self-augmentation (ablation) | D4 · SOTS-indoor | PSNR: 23.15 -> 25.42 | Helped |
| Add random scattering-coefficient sampling for self-augmentation (ablation) | D4 · SOTS-outdoor | PSNR: 24.08 -> 25.83 | Helped |
| Add pseudo scattering-coefficient and depth supervision (ablation) | D4 · SOTS-indoor | PSNR: 20.02 -> 25.42 | Helped |
| Add pseudo scattering-coefficient and depth supervision (ablation) | D4 · SOTS-outdoor | PSNR: 22.95 -> 25.83 | Helped |
| Model haze using depth and density and generate varied haze for training | unpaired dehazing on SOTS-outdoor · SOTS-outdoor | PSNR: +4.52 | Helped |
| Use D4 instead of the strongest paired baseline | dehazing on SOTS-indoor · SOTS-indoor | PSNR: 35.45 -> 25.42 | Hurt |
| Use D4 instead of the strongest paired baseline | dehazing on I-HAZE · I-HAZE | PSNR: 15.30 -> 15.61 | Helped |
Closest papers by meaning
- Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing (CVPR 2025 · similarity 0.90)
- PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing (NeurIPS 2026 · similarity 0.90)
- PromptHaze: Prompting Real-world Dehazing via Depth Anything Model (AAAI 2025 · similarity 0.89)
- Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training (AAAI 2025 · similarity 0.89)
- Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video (AAAI 2025 · similarity 0.89)
- SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency (AAAI 2024 · similarity 0.89)
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