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Multi-Scale Boosted Dehazing Network With Dense Feature Fusion
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add the SOS boosted decoder instead of the PFFNet baseline decoder (ablation) | PFFNet · SOTS | PSNR: 29.22 -> 32.85 | Helped |
| use SOS boosting instead of diffusion, twicing, pyramid, or the original U-Net decoder (ablation) | PFFNet-based encoder-decoder · SOTS | PSNR: 32.85 vs 27.45, 32.49, 31.53, 32.31 | Helped |
| remove skip connections and use a diffusion decoder (ablation) | PFFNet · SOTS | PSNR: 29.22 -> 27.45 | Hurt |
| add dense feature fusion to MSBDN (ablation) | MSBDN · SOTS | PSNR: 32.85 -> 33.79 | Helped |
| add sampled preceding-feature concatenation and bottleneck fusion (ablation) | MSBDN · SOTS | PSNR: 32.85 -> 33.02 | Helped |
| use simultaneous rather than progressive back-projection (ablation) | MSBDN feature fusion · SOTS | PSNR: 33.24 -> 33.79 | Hurt |
| add two residual blocks per residual group instead of DFF (ablation) | MSBDN · SOTS | PSNR: 33.16 -> 33.79 | Hurt |
| add progressive DFF (ablation) | PFFNet · SOTS | PSNR: 29.22 -> 32.95 | Helped |
| increase feature levels from 4 to 5 with 8 ResBlocks (ablation) | MSBDN-DFF · SOTS | PSNR: 32.07 -> 32.93 | Helped |
| increase ResBlocks from 8 to 18 with 5 feature levels (ablation) | MSBDN-DFF · SOTS | PSNR: 32.93 -> 33.79 | Helped |
Closest papers by meaning
- Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network (AAAI 2025 · similarity 0.85)
- Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing (CVPR 2024 · similarity 0.85)
- Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images (CVPR 2025 · similarity 0.84)
- PromptHaze: Prompting Real-world Dehazing via Depth Anything Model (AAAI 2025 · similarity 0.84)
- Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing (AAAI 2025 · similarity 0.84)
- Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing (CVPR 2025 · similarity 0.84)
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