Research map / Image generation / Image restoration
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use FA without LRL or FFA (ablation) | FFA-Net · SOTS indoor testset | PSNR | Helped |
| Add LRL to FA (ablation) | FFA-Net · SOTS indoor testset | PSNR: 30.28db -> 31.16db | Helped |
| Add FFA to FA + LRL (ablation) | FFA-Net · SOTS indoor testset | PSNR: 31.16db -> 32.44db | Helped |
| Use the full implementation details rather than the ablation setup (ablation) | FFA-Net · SOTS indoor testset | PSNR: 32.44db -> 35.77db | Helped |
Closest papers by meaning
- Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image Dehazing (AAAI 2025 · similarity 0.85)
- Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images (CVPR 2025 · similarity 0.85)
- Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing (AAAI 2025 · similarity 0.84)
- PromptHaze: Prompting Real-world Dehazing via Depth Anything Model (AAAI 2025 · similarity 0.84)
- Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network (AAAI 2025 · similarity 0.84)
- Guided Real Image Dehazing Using YCbCr Color Space (AAAI 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.